Collection of Courses Number 67
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Description
You're looking for a complete Artificial Neural Network (ANN) course that teaches you everything you need to create a Neural Network model in Python, right?
You've found the right Neural Networks course!
After completing this course you will be able to:
Identify the business problem which can be solved using Neural network Models.
Have a clear understanding of Advanced Neural network concepts such as Gradient Descent, forward and Backward Propagation etc.
Create Neural network models in Python using Keras and Tensorflow libraries and analyze their results.
Confidently practice, discuss and understand Deep Learning concepts
How this course will help you?
A Verifiable Certificate of Completion is presented to all students who undertake this Neural networks course.
If you are a business Analyst or an executive, or a student who wants to learn and apply Deep learning in Real world problems of business, this course will give you a solid base for that by teaching you some of the most advanced concepts of Neural networks and their implementation in Python without getting too Mathematical.
Why should you choose this course?
This course covers all the steps that one should take to create a predictive model using Neural Networks.
Most courses only focus on teaching how to run the analysis but we believe that having a strong theoretical understanding of the concepts enables us to create a good model . And after running the analysis, one should be able to judge how good the model is and interpret the results to actually be able to help the business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using Deep learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 250,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Practice test, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take practice test to check your understanding of concepts. There is a final practical assignment for you to practically implement your learning.
What is covered in this course?
This course teaches you all the steps of creating a Neural network based model i.e. a Deep Learning model, to solve business problems.
Below are the course contents of this course on ANN:
Part 1 - Python basics
This part gets you started with Python.
This part will help you set up the python and Jupyter environment on your system and it'll teach you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Part 2 - Theoretical Concepts
This part will give you a solid understanding of concepts involved in Neural Networks.
In this section you will learn about the single cells or Perceptrons and how Perceptrons are stacked to create a network architecture. Once architecture is set, we understand the Gradient descent algorithm to find the minima of a function and learn how this is used to optimize our network model.
Part 3 - Creating Regression and Classification ANN model in Python
In this part you will learn how to create ANN models in Python.
We will start this section by creating an ANN model using Sequential API to solve a classification problem. We learn how to define network architecture, configure the model and train the model. Then we evaluate the performance of our trained model and use it to predict on new data. We also solve a regression problem in which we try to predict house prices in a location. We will also cover how to create complex ANN architectures using functional API. Lastly we learn how to save and restore models.
We also understand the importance of libraries such as Keras and TensorFlow in this part.
Part 4 - Data Preprocessing
In this part you will learn what actions you need to take to prepare Data for the analysis, these steps are very important for creating a meaningful.
In this section, we will start with the basic theory of decision tree then we cover data pre-processing topics like missing value imputation, variable transformation and Test-Train split.
Part 5 - Classic ML technique - Linear Regression
This section starts with simple linear regression and then covers multiple linear regression.We have covered the basic theory behind each concept without getting too mathematical about it so that you
understand where the concept is coming from and how it is important. But even if you don't understand
it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a Neural Network model in Python will soar. You'll have a thorough understanding of how to use ANN to create predictive models and solve business problems.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below are some popular FAQs of students who want to start their Deep learning journey-
Why use Python for Deep Learning?
Understanding Python is one of the valuable skills needed for a career in Deep Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Deep Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
What is the difference between Data Mining, Machine Learning, and Deep Learning?
Put simply, machine learning and data mining use the same algorithms and techniques as data mining, except the kinds of predictions vary. While data mining discovers previously unknown patterns and knowledge, machine learning reproduces known patterns and knowledge—and further automatically applies that information to data, decision-making, and actions.
Deep learning, on the other hand, uses advanced computing power and special types of neural networks and applies them to large amounts of data to learn, understand, and identify complicated patterns. Automatic language translation and medical diagnoses are examples of deep learning.
Description
Welcome to the HTML and CSS Web Development course on Udemy! If you're eager to learn the building blocks of web design and development, this course is perfect for you. Whether you're a complete beginner or have some experience with web development, this comprehensive course will equip you with the essential skills to create stunning websites.
Here's what you can expect from this course:
Beginner-Friendly Content: This course starts from the very basics, assuming no prior knowledge of HTML or CSS. We'll guide you step-by-step through the fundamentals, ensuring a smooth learning experience for learners of all levels.
Practical Hands-On Projects: Theory is important, but practice makes perfect! Throughout the course, you'll work on hands-on projects that allow you to apply what you've learned. By creating real-world websites and web pages, you'll gain confidence in your coding abilities.
HTML Mastery: Learn how to structure and organize web content using HTML (Hypertext Markup Language). You'll understand the purpose of HTML tags, how to create links, format text, insert images, and build forms to collect user data.
CSS Styling Techniques: Dive into the world of CSS (Cascading Style Sheets) and discover how to make your web pages visually appealing. You'll learn how to customize fonts, colors, backgrounds, and borders, as well as how to position and layout elements on the page.
Responsive Web Design: With the increasing use of mobile devices, it's crucial to create websites that adapt to different screen sizes. You'll explore responsive design principles and techniques, ensuring that your websites look great on any device.
Best Practices and Standards: Stay up-to-date with industry best practices and standards as we delve into semantic HTML and clean CSS coding techniques. You'll learn how to write well-structured code that is easy to maintain and collaborate on.
Troubleshooting and Debugging: Web development isn't without its challenges, but fear not! You'll discover common issues in HTML and CSS and learn effective debugging techniques to overcome them.
Resources and Support: Access a wealth of resources, including downloadable code files, quizzes, and supplementary materials. Engage with the instructor and a supportive community of learners to get your questions answered and receive guidance throughout the course.
By the end of this course, you'll have a solid understanding of HTML and CSS and be able to create visually appealing and responsive websites. Whether you're looking to pursue a career in web development or want to enhance your existing skill set, this course is your gateway to success.
Enroll now and unlock the power of HTML and CSS to create beautiful and functional websites. Let's embark on this exciting journey of web development together!
Description
"Java 21 Mastery: The Complete and Fast-Paced Guide" is an intensive and comprehensive course designed to help you master the latest version of Java programming. With a focus on Java 19, this course is perfect for beginner and experienced programmers looking to enhance their skills.
The course covers all the essential concepts of Java programming, including object-oriented programming, data structures, algorithms, and more. You'll learn through video lectures, hands-on coding exercises, assignments, quizzes, and practice tests, ensuring a thorough understanding of the material.
This course's hands-on approach will allow you to apply your newly acquired knowledge in real-world scenarios. You'll start by setting up your Java development environment and then move on to learning the basics of Java syntax and control structures. As you progress through the course, you'll delve deeper into advanced topics such as exception handling, multithreading, and networking.
By the end of this course, you'll have a solid foundation in Java 19 programming and be able to develop your applications using the latest Java technologies. You'll also deeply understand the Java programming language, including best practices and design patterns, making you a highly competent Java developer.
This course is designed to be fast-paced, allowing you to master Java 19 in a shorter time than other courses. With its comprehensive curriculum, hands-on approach, and fast-paced structure, you'll be able to reach your goals and advance your Java 19 skills quickly and efficiently. So, enroll now and take your programming skills to the next level with "Java 19 Mastery: The Complete and Fast-Paced Guide."
Description
In this course, you are going to both build a massive project and have fun, We will begin by setting up our config, and do the authentication system up to finishing the admin panel. There is a lot to get into when we are talking about building a project of this size, of course. So if you learned PHP, MySQL a little bit of PDO, and Bootstrap and want to train your skills you are in the right place. You are going to be exposed to a lot of different parts of web development areas and techniques and so on. This should be a rich experience for you if you are stuck with tutorials and do not know when to start when building projects. Also, there are going to be a lot of bugs along the way and we are going to solve them together, so be prepared for some real coding.
Let's take a quick deep dive into what we are going to be building. The first thing naturally is the config part of the app and then the fully validated customizable authentication system, and then we are going to create a full profile system, and while we are at it we are going to learn how to update it. after that, we are going to get into a very serious part and that is the job posting that's when we are going to do a lot of validation because only the companies are going to create the jobs, show, delete, and update them. And then we are going to take a look at another important part and that is applying for jobs and that's only going to be for job seekers and we will implement the categories system and we will take care of various forms of general parts inside the website like displaying certain data, validations and search input and so on. And of course, there is a lot more to add to this. So if this looks like something you are interested in building, don't hesitate to join the course now!!
Description
Everybody knows ElasticSearch as a popular full-text search engine or as part of ELK but I am going to show you ElasticSearch from the side you have never known before. I want to show you that with ElasticSearch you can build very advanced search engines or even recommendation modules that can be much more effective and together with that, much more simpler than similar systems built on top of machine learning technologies. I want to show the real geo power of ElasticSearch for building advanced search filters and aggregations.
This course is built in such a way it would be useful both: for complete beginners and for people who are working with ElasticSearch but would like to extend their practice knowledge. It would be especially useful for those who are going to build some recommendation systems or advanced search mechanisms in the near future.
The course consists of 5 modules. First module is aimed for beginners and can be skipped by people who are already working with ElasticSearch. Here I will tell you about basics: how to install and configure the environment using Docker, how data at ElasticSearch are organized, why mapping is so important and what all that mess around tokenizers and analyzers means.
In the second section I will show how to build an advanced search system step by step on a real example of a simplified booking com version. We will touch the topics about ES geopower here.
Next course section is devoted to the recommendation module. Here we will speak about recommendation systems in general - about pros and cons of today's methods. And again together we will build a real system using ElasticSearch. We will create a recommendation mechanism for virtual example of cleaning houses' marketplace.
In the fourth section I will show real examples using php, python and Java libraries for integration with ElasticSearch. And again we will create real microservice applying best programming practices and interesting design patterns like builder pattern or filter pattern. I will touch here also the question of debugging the possible problems.
The fifth and the last part is about using ElasticSearch for production. Here I will share with you my knowledge on how to set up a highly available cluster, how to calculate shard size and storage requirements, how to index millions of documents in the most efficient way and even how to preserve zero downtime at reindexing
Description
Learn Python From Beginner To Advanced Level By Demonstrations
The course is created thorough, extensive, but easy to follow content which you’ll easily understand and absorb.
The course starts with the basics, including Python fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish becoming a professional Python developer. We will start from the very beginning by teaching you Python basics and programming fundamentals, and then going into advanced topics and different career fields in Python so you can get real-life practice and be ready for the real world.
The topics covered in this course are:
* Beginner to Expert Python contents:
Installing Anaconda
Python Overview
Array implementation
File methods
Keywords and Identifiers
Python Tuples
Python Basics
Python Fundamentals
Data Structures
Object-Oriented Programming with Python
Functional Programming with Python
Lambdas
Decorators
Generators
Testing in Python
Debugging
Error Handling
Regular Expressions
Comprehensions
Modules
See you inside the course!
Description
Learn CSS And Javascript Complete Course For Beginners
Section 1- CSS Course with basics and advanced concepts of CSS
Ever wonder how the latest website designs are made? Cascading Style Sheets (CSS) are the main coding files used to layout a website and its design. CSS 3 is the latest in styling standards, and it brings several new properties and declarations you can use to make your website design more easily created. CSS is currently the only standard in website design that plugs directly into your HTML, even the latest HTML 5 standards. With CSS 3 and HTML 5, you can create the latest interactive pages for your website viewers.
This course shows you how to create CSS classes from a beginner's level. It starts off with basic HTML declarations, properties, values, and how to include a CSS style sheet with your HTML code. For those of you who are new to CSS and HTML, we show you step-by-step how to create a CSS file and include it in your HTML code, even if you use a cloud server for your hosting.
We show you how to position your elements, layout your elements relative to your documents, and style your HTML using predefined CSS values. We introduce you to the common CSS styling that you'll need when you start off designing your pages. If you want to get to know CSS and website design, this course is meant for you, and it can be used by anyone who hasn't even seen one line of CSS code yet. We focus on the latest CSS 3 and HTML 5 standards, so you get the latest when coding your website pages instead of focusing on older code.
There are no prerequisites. Anyone Can join this course. It is recommended though that individual have some basic computer programming knowledge.
Course Topics
Introduction to CSS
Inclusion Of CSS In HTML
CSS Syntax
CSS Styling Text
CSS Page Backgrounds
CSS 2D Transform
CSS 3D Transform
CSS Animation
And More....
Section 2- Learn Javascript Programming Language
The course is created with thorough, extensive, but easy-to-follow content that you’ll easily understand and absorb.
The course starts with the basics, including JavaScript fundamentals, programming, and user interaction.
The curriculum is going to be very hands-on as we walk you from start to finish to become a professional Javascript developer. We will start from the very beginning by teaching you Javascript basics and programming fundamentals, and then execute into real-life practice and be ready for the real world.
While Javascript is complicated for beginners to learn, it is widely used in many web development areas.
This course gets you started with an introduction to JavaScript. It assumes that you're new to the language, so it gets you started with basic functionality such as creating functions, creating variables, and calling these lines of code from your standard HTML pages. It talks about events and triggers for custom event handling. It talks about pattern matching, searching for text within a page, flow control, and the document object model (DOM). We start off with the basics and move on to more complex functionality such as arrays and objects. We then discuss how to script common elements with JavaScript such as forms and tables. At the very end, we discuss major libraries such as Ajax, which allows you to make asynchronous calls to server-side scripts without reloading the web page in the server.
Master the fundamentals of writing Javascript scripts
Learn core Javascript scripting elements such as variables and Objects
Discover how to work with lists and sequence data
Write Javascript functions to facilitate code reuse
Use Javascript to read and write files
Make their code robust by handling errors and exceptions properly
Search text using regular expressions
The topics covered in this course are:
* Javascript Course Contents:
Javascript Introduction
Javascript Array
Javascript Variables
Javascript Functions
Javascript Objects
Javascript Control Statements
Javascript Cookies
Javascript Loop statements
Javascript Data Structures
Javascript Error Handling
Javascript Regular Expressions
See you inside the course
Thank you see you inside the course
Description
You're looking for a complete Linear Regression and Logistic Regression course that teaches you everything you need to create a Linear or Logistic Regression model in Python, right?
You've found the right Linear Regression course!
After completing this course you will be able to:
Identify the business problem which can be solved using linear and logistic regression technique of Machine Learning.
Create a linear regression and logistic regression model in Python and analyze its result.
Confidently model and solve regression and classification problems
A Verifiable Certificate of Completion is presented to all students who undertake this Machine learning basics course.
What is covered in this course?
This course teaches you all the steps of creating a Linear Regression model, which is the most popular Machine Learning model, to solve business problems.
Below are the course contents of this course on Linear Regression:
Section 1 - Basics of Statistics
This section is divided into five different lectures starting from types of data then types of statistics
then graphical representations to describe the data and then a lecture on measures of center like mean
median and mode and lastly measures of dispersion like range and standard deviation
Section 2 - Python basic
This section gets you started with Python.
This section will help you set up the python and Jupyter environment on your system and it'll teach
you how to perform some basic operations in Python. We will understand the importance of different libraries such as Numpy, Pandas & Seaborn.
Section 3 - Introduction to Machine Learning
In this section we will learn - What does Machine Learning mean. What are the meanings or different terms associated with machine learning? You will see some examples so that you understand what machine learning actually is. It also contains steps involved in building a machine learning model, not just linear models, any machine learning model.
Section 4 - Data Preprocessing
In this section you will learn what actions you need to take a step by step to get the data and then
prepare it for the analysis these steps are very important.
We start with understanding the importance of business knowledge then we will see how to do data exploration. We learn how to do uni-variate analysis and bi-variate analysis then we cover topics like outlier treatment, missing value imputation, variable transformation and correlation.
Section 5 - Regression Model
This section starts with simple linear regression and then covers multiple linear regression.
We have covered the basic theory behind each concept without getting too mathematical about it so that you
understand where the concept is coming from and how it is important. But even if you don't understand
it, it will be okay as long as you learn how to run and interpret the result as taught in the practical lectures.
We also look at how to quantify models accuracy, what is the meaning of F statistic, how categorical variables in the independent variables dataset are interpreted in the results, what are other variations to the ordinary least squared method and how do we finally interpret the result to find out the answer to a business problem.
By the end of this course, your confidence in creating a regression model in Python will soar. You'll have a thorough understanding of how to use regression modelling to create predictive models and solve business problems.
How this course will help you?
If you are a business manager or an executive, or a student who wants to learn and apply machine learning in Real world problems of business, this course will give you a solid base for that by teaching you the most popular techniques of machine learning, which is Linear Regression and Logistic Regregression
Why should you choose this course?
This course covers all the steps that one should take while solving a business problem through linear and logistic regression.
Most courses only focus on teaching how to run the analysis but we believe that what happens before and after running analysis is even more important i.e. before running analysis it is very important that you have the right data and do some pre-processing on it. And after running analysis, you should be able to judge how good your model is and interpret the results to actually be able to help your business.
What makes us qualified to teach you?
The course is taught by Abhishek and Pukhraj. As managers in Global Analytics Consulting firm, we have helped businesses solve their business problem using machine learning techniques and we have used our experience to include the practical aspects of data analysis in this course
We are also the creators of some of the most popular online courses - with over 150,000 enrollments and thousands of 5-star reviews like these ones:
This is very good, i love the fact the all explanation given can be understood by a layman - Joshua
Thank you Author for this wonderful course. You are the best and this course is worth any price. - Daisy
Our Promise
Teaching our students is our job and we are committed to it. If you have any questions about the course content, practice sheet or anything related to any topic, you can always post a question in the course or send us a direct message.
Download Practice files, take Quizzes, and complete Assignments
With each lecture, there are class notes attached for you to follow along. You can also take quizzes to check your understanding of concepts. Each section contains a practice assignment for you to practically implement your learning.
Go ahead and click the enroll button, and I'll see you in lesson 1!
Cheers
Start-Tech Academy
------------
Below is a list of popular FAQs of students who want to start their Machine learning journey-
What is Machine Learning?
Machine Learning is a field of computer science which gives the computer the ability to learn without being explicitly programmed. It is a branch of artificial intelligence based on the idea that systems can learn from data, identify patterns and make decisions with minimal human intervention.
What is the Linear regression technique of Machine learning?
Linear Regression is a simple machine learning model for regression problems, i.e., when the target variable is a real value.
Linear regression is a linear model, e.g. a model that assumes a linear relationship between the input variables (x) and the single output variable (y). More specifically, that y can be calculated from a linear combination of the input variables (x).
When there is a single input variable (x), the method is referred to as simple linear regression.
When there are multiple input variables, the method is known as multiple linear regression.
Why learn Linear regression technique of Machine learning?
There are four reasons to learn Linear regression technique of Machine learning:
1. Linear Regression is the most popular machine learning technique
2. Linear Regression has fairly good prediction accuracy
3. Linear Regression is simple to implement and easy to interpret
4. It gives you a firm base to start learning other advanced techniques of Machine Learning
How much time does it take to learn Linear regression technique of machine learning?
Linear Regression is easy but no one can determine the learning time it takes. It totally depends on you. The method we adopted to help you learn Linear regression starts from the basics and takes you to advanced level within hours. You can follow the same, but remember you can learn nothing without practicing it. Practice is the only way to remember whatever you have learnt. Therefore, we have also provided you with another data set to work on as a separate project of Linear regression.
What are the steps I should follow to be able to build a Machine Learning model?
You can divide your learning process into 4 parts:
Statistics and Probability - Implementing Machine learning techniques require basic knowledge of Statistics and probability concepts. Second section of the course covers this part.
Understanding of Machine learning - Fourth section helps you understand the terms and concepts associated with Machine learning and gives you the steps to be followed to build a machine learning model
Programming Experience - A significant part of machine learning is programming. Python and R clearly stand out to be the leaders in the recent days. Third section will help you set up the Python environment and teach you some basic operations. In later sections there is a video on how to implement each concept taught in theory lecture in Python
Understanding of Linear and Logistic Regression modelling - Having a good knowledge of Linear and Logistic Regression gives you a solid understanding of how machine learning works. Even though Linear regression is the simplest technique of Machine learning, it is still the most popular one with fairly good prediction ability. Fifth and sixth section cover Linear regression topic end-to-end and with each theory lecture comes a corresponding practical lecture where we actually run each query with you.
Why use Python for data Machine Learning?
Understanding Python is one of the valuable skills needed for a career in Machine Learning.
Though it hasn’t always been, Python is the programming language of choice for data science. Here’s a brief history:
In 2016, it overtook R on Kaggle, the premier platform for data science competitions.
In 2017, it overtook R on KDNuggets’s annual poll of data scientists’ most used tools.
In 2018, 66% of data scientists reported using Python daily, making it the number one tool for analytics professionals.
Machine Learning experts expect this trend to continue with increasing development in the Python ecosystem. And while your journey to learn Python programming may be just beginning, it’s nice to know that employment opportunities are abundant (and growing) as well.
Description
WELCOME TO THE COURSE - ChatGPT for DATA SCIENCE AND MACHINE LEARNING
ChatGPT is an AI-powered conversational agent based on the GPT-3.5 architecture developed by OpenAI. As a language model, ChatGPT is capable of understanding and generating human-like responses to a wide variety of topics, making it a versatile tool for chatbot development, customer service, and content creation.Furthermore, ChatGPT is designed to be highly scalable and customizable, allowing developers to fine-tune its responses and integrate it into various applications and platforms. This flexibility makes ChatGPT a valuable asset for businesses seeking to enhance customer engagement and streamline their operations.
By leveraging ChatGPT's advanced natural language processing capabilities, data scientists can improve their workflows and achieve better results in their projects.
ChatGPT can be a useful tool for Programmers and Data Scientists in various ways.
Code Generation: ChatGPT can generate code snippets based on natural language prompts, which can be useful for programmers who need to quickly prototype ideas or generate boilerplate code. By training ChatGPT on a corpus of code examples, programmers can create a language model that can generate syntactically correct code snippets for a variety of programming languages.
Documentation Generation: ChatGPT can also be used to generate documentation for code. By training ChatGPT on a corpus of code comments and documentation, programmers can create a language model that can generate documentation for code snippets or entire codebases automatically.
Code Optimization: ChatGPT can be used to optimize code by suggesting ways to simplify or optimize code snippets. By training ChatGPT on a corpus of optimized code examples, programmers can create a language model that can suggest improvements to existing code, which can help to reduce code complexity, improve performance, and increase maintainability.
Error Handling: ChatGPT can also be used to improve error handling by suggesting solutions to common coding errors. By training ChatGPT on a corpus of code examples that contain errors and their solutions, programmers can create a language model that can suggest solutions to common coding errors automatically.
SO THIS IS ONE COMPLETE COURSE THAT WILL TEACH YOU ABOUT DATA SCIENCE AND MACHINE LEARNING AND HOW YOU CAN LEVERAGE THE POWER OF ChatGPT FOR A FASTER AND MORE EFFICIENT PROJECT DEVELOPMENT.
IT & Software
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Description
Hello All,
I welcome you to this course on "Learn C++ Programming - Beginner to Advanced". In this course you will learn fundamentals of Object Oriented Programming. In this course, you will learn features of Object Oriented Programming like Encapsulation, Inheritance, Polymorphism, Abstraction. You will be able to differentiate between Run time Polymorphism and Compile time Polymorphism. In this course, I have also covered File Handling and Exception Handling in C++. You will also learn how to use Standard Template Library in C++ language.
So, at the end I wish you all the best. Please provide 5 star rating to this course which will motivate me to launch such courses in future.
Happy Learning!!!
Topics Covered in this course are as follows:
1. How to Compile and Run a C / C++ Program from Command Prompt in Windows | Run C/ C++ code in CMD
2. C++ Initializing Variables | 3 Ways Including Brace Initialization | Variable Declaration in C++
3. Namespace in C++ with Examples | Namespaces in C Plus Plus Programming Language
4. How To Create Header File in C or C++ Language With Example | How To Create Header File in CPP
5. enum in C++ | Enumeration - enum in C++ Programming Tutorial | enums C++
6. Utility Function in C++ with Example Program
7. Copy Constructor in C++ with Example Program | Copy Constructor in C Plus Plus
8. Destructor in C++ with Example | Destructor in C++ OOP
9. friend function in c++ with example | friend keyword in c++
10. Inline Function in C++ with Example
11. Inheritance in C++ Part 1 | Types of Inheritance in CPP
12. Inheritance in C++ Part 2 | Visibility Modes in Inheritance in C++ with Example
13. Virtual Base Class in C++ | Solution to Diamond Problem in C++ using Virtual Inheritance | Ambiguity
14. Friend Class and Friend Function in C++ with Example | Friend Function in CPP with Example
15. Nested Class in C++ with Example | Inner Class in C++ | Nested Class in CPP | Inner Class in CPP
16. Pointers in C and C++ | Pointers in C and CPP Programming Languages | Indirection Operator
17. new delete Operator in C++ Program | Dynamic Memory Allocation in CPP | new delete Array C++
18. Pointer to Object C++ | Pointer to Object in C Plus Plus | Pointer to Object in CPP
19. this Pointer in C++ with Example Program | this Keyword in CPP | this Keyword in C++ Class
20. Function Pointers in C and C++ | Function Pointer as Argument in C and CPP Programming Languages
21. Passing Pointers To Functions in C and CPP | Passing Pointers as Arguments To Functions in C and C++
22. Return Pointer from Function in C and CPP | Return Pointer C++
23. NULL Pointer in C and C++ with Example Program
24. Void Pointer in C and C++ with Example Program | Void Pointer Declaration in C and CPP Programming
25. Dangling Pointer in C++ with Simple Example | Dangling Pointer and Memory Leak in C++
26. Reference Variable in C++ | Reference Type
27. Function Overloading in C++ with Program Example | Function Overloading in OOP | Polymorphism in C++
28. Operator Overloading in C++ Part 1 | Operator Overloading in C Plus Plus or CPP with Example Program
29. Operator Overloading in C++ Part 2 | Overloading Unary Operator in C++ with Example Program
30. Operator Overloading in C++ Part 3 | Operator Overloading in C++ using Friend Function
31. Operator Overloading in C++ Part 4 | Insertion and Extraction Operator Overloading in C++
32. explicit Keyword in C++ | explicit Constructor in C++ | explicit Qualifier in C++
33. Mutable Keyword in C++ | Mutable in CPP
34. Virtual and Pure Virtual Function in C++ | Abstract Class | Runtime vs Compile Time Polymorphism
35. Command Line Arguments in C and C++ with Example | Command Line Arguments in C++ using argc and argv
36. File Handling in C++ Programming Part 1 | Input Output Stream Classes in C++ |Stream Class Hierarchy
37. File Handling in C++ Programming Part 2 | Input Output Operations on Files in C++ with Examples
38. File Handling in C++ Programming Part 3 | File Pointers in C++ | get put seekg seekp tellg tellp
39. Exception Handling in C++ with Examples | C++ Exception Handling
40. C++ Template Part 1 | Function Template in CPP
41. C++ Template Part 2 | Class Template in CPP
42. Separate and Independent Compilation with Example | Independent Compilation in C and Java language
43. Virtual Destructor in C++ | Virtual Destructor in CPP | Virtual Destructor in Base Class
44. C++ STL Part 1 | Introduction to Standard Template Library in CPP Language
45. C++ STL Part 2 | Vector in Standard Template Library in CPP Language
46. C++ STL Part 3 | Vector with sort() function in Standard Template Library in CPP Language | Sorting
47. C++ STL Part 4 | Vector with find() and find_if() function in Standard Template Library in CPP
48. C++ STL Part 5 | Map in Standard Template Library in CPP Language | Map Associative Container in CPP
49. C++ STL Part 6 | minmax algorithm in Standard Template Library in CPP Language | min-max algorithm
50. C++ STL Part 7 | Set in Standard Template Library in CPP Language | Set Associative Container in CPP
51. C++ STL Part 8 | Heap & Heap Sort in Standard Template Library in CPP Language
Description
This course is well-crafted for Beginners as well as those who want to further improve in Python.
?In this course, I'm going to get you started in programming in the most popular language in the tech industry, Python!?
Honestly, after this course, you'll become confident as ever in Python and will be writing code on your own!??
Python is spreading like wildfire? and the job demands are pretty high.??
?If you're trying to get a job or trying to automate your life, learning Python with me is the best option for you!
Python is very powerful and also easy to learn!
?My name is Haris and I'm a software developer with boatloads of experience
and I'll be your instructor for this amazing Python Crash
Course.? I've taught many people how to code!
Before starting, I want you to follow me on my different channels so that I'll be able to reach out to even more aspiring people, which will motivate me to create even more courses in the future!
For this course, I wanted to focus on Python. Python is the most popular language by far. Wherever there'll be ML or AI, there'll be Python associated.
?So with all of that out of the way, let's up the ante and start writing some code!?
?Let the coding begin!
Description
Recent Student's Reviews
The Udemy Basic ChatGPT course offers a comprehensive introduction to the fundamentals of ChatGPT technology. The content is well-structured, with clear explanations and practical examples. The instructor provides valuable insights, making complex concepts accessible to beginners. A worthwhile course for anyone looking to understand and leverage ChatGPT effectively. (Mahipal P.)
Great set up. Excellent and effective organization of the course. I enjoyed it (Osadeyi O.)
Great course!!! (DARSHAN D.)
Yes. Clear and concise.. – (Thomas L H)
Thanks for creating this course. It is really good. – (Rusdha)
Reasons why you should choose this The Complete ChatGPT Guide From Zero to Hero - 2024 course
Carefully designed curriculum By Proficient
you can complete this course In Short time
ChatGPT related case studies & Practical Examples Explained By Instructor
A Verifiable Certificate will Be Provided On the Completion
Well-designed and easy-to-understand materials
Detailed explanations with comprehensible case studies based on real situations
Downloadable course materials
ChatGPT is a game changer in Artificial intelligent industry and anyone can use ChatGPT. it has unlimited facilities to get to know anything in any subjects. For the first time ever, anyone can have the power of artificial intelligence at their fingertips at this moment. No programming or No machine learning and No VBA Code experience needed to execute the your work and just Chat GPT to do your work in any subject! If you know how to use Google? Then you can use ChatGPT as well.
Welcome to The Complete Chat GPT Guide From Zero to Hero - 2024 Course ,In this course, I am going to guide you everything you need to know about ChatGPT from basic to Advanced with practical examples and This course will be perfect for people who are completely new to ChatGPT. Even if you don't know any single point about ChatGPT because I teach the ChatGPT from Zero to Hero with practical Examples , Don't Waste Your time, Let's Start to Learn ChatGPT From Zero!
This Course is covered the Following areas such as Artificial Intelligence in chat applications, GPT tutorial, conversational AI training, advanced chatbot programming, language model applications, NLP techniques for chat systems, building intelligent chat applications, and Chat GPT best practices.
What is key section in this course?
Chapter 1 Introduction to ChatGPT
Chapter 2 User interface of ChatGPT & Create an Account in Open AI
Chapter 3 Solve Mathematical Problems
Chapter 4 Solve MS Excel MS Word And MS Access Doubts
Chapter 5 Create PowerPoint Slide Within A Minute
Chapter 6 Generator VBA Code As Per Your Request
Chapter 7 Write A Professional Email And Letters As Per Your Request
Chapter 8 Translation Service
Chapter 9 Medical Tips And Cooking Tips
Chapter 10 Write An Any Article & Blogpost In Any Subjects
Chapter 11 Write A Covering Letter And Resume
Chapter 12 Create Short Story As Per Your Request
Chapter 13 Making Summary Of The Texts
Chapter 14 Shopping List
Chapter 15 Create Copyright Template For Website Or Book
Chapter 16 Create A Website
Chapter 17 Create Web Tools
Go ahead and click the enroll button, and I'll see you in Chapter 1!
Cheers
A.M.A.M.Mubeen
Marketing
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Description
Welcome to Complete Guide to Tailwind - Master Pinterest with Tailwind!
The only course you will need to start with Tailwind, one of the best Pinterest Management Tools on the market (if not the best).
Tailwind is the service that will help you to manage practically all aspects of Pinterest and most importantly it allows you to create Pinterest Pins (Right from the browser), Schedule your pins and manage them, all from one convenient spot.
Here you will learn everything you need to know about Tailwind, including but not limited to:
Basics & Interface of Tailwind;
Tools of Tailwind;
Creating Pin Schedules;
Scheduling Pins Directly From Tailwind;
Joining, Creating and Interacting with Tailwind Communities;
Creation of Pins Directly Within Tailwind;
Reading and Analyzing Pin and Board Analytics;
Practical tips & Tricks
& Much More...
Everything you will learn here will be based on My practice as a Tailwind user for 2 years now and I am going to teach you how I myself utilize Tailwind to achieve results on Pinterest as fast as possible.
Most importantly this course will continue and grow as time passes and all the upgrades will be available for FREE for every enrolled student.
And don't forget that Instructor is here for you. For any questions do not hesitate to ask.
Join me in this amazing journey and I hope to see you in class :)
Business
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Description
No matter what product you sell or what services provide, in the modern crowded digital world, it can be difficult to get noticed as there may be dozens or even hundreds of other businesses competing for the attention of potential customers. Cold email can help to cut through the noise and get your message in front of people who might not otherwise have heard about your business. It is also the most cost-effective way to reach a large audience which will definitely come in handy if you have a startup and are limited in budget.
Cold email is a great marketing tool that involves sending unsolicited emails to potential customers or clients. It is typically used as a way to reach out to a large number of people at once, with the goal of getting them to take some kind of action. With a well-thought cold email strategy, you are more likely to engage a highly targeted audience that is interested in your product or service.
WHAT WILL YOU LEARN IN THIS COURSE?
After completing this course, you will know how to create a successful cold email campaign that will help you reach a wider audience without spending a lot of money on advertising: from finding prospects and their email addresses to email personalization and scaling your outreach sequences
Find out the key differences between cold emails and spam so that your cold emails never get into spam folders
Get to know how to choose only verified email addresses for cold outreach with the help of Hunter in order to increase the likelihood that recipients will take action
Learn how to enable email automation of your campaigns using email templates and dynamic attributes to save a ton of time
Understand how to write cold emails that get responses and how to build authority backlinks with cold outreach
Get the knack for cold emailing right now!
My name is Anton Voroniuk and I would like to teach you how to set up an effective cold email campaign step-by-step. I am the CEO of the Digital Marketing Academy SkillsBooster, and a co-owner of Webpromo Agency. During this time I have created hundreds of effective and engaging email campaigns that connected with customers and drove results. Now I’m ready to teach you how to build your best cold marketing email strategy from scratch!
YOU’LL HAVE THE OPPORTUNITY TO LEARN COLD EMAIL MARKETING FROM TOP DIGITAL MARKETING PROFESSIONALS:
We have over 15 years of experience in online marketing. Our Webpromo Agency has both Google Premier Partner status and Facebook Marketing Partner status.
I've personally collected a vast amount of digital marketing qualifications and marketing certifications (Google Analytics Individual Qualification, Google Ads Individual Qualification, Bing Ads Accredited Professional, Search Ads360 Certified, and others).
We've launched over 1,500 successful marketing strategies and campaigns throughout our careers.
Over 480,000 digital marketing specialists worldwide have enrolled in our online courses. Our free online events, blog, and YouTube tutorials help the SkillsBooster community stay in the loop and get all the tips they need to succeed in digital marketing.
OUR COLD EMAIL TRAINING INCLUDES:
Theory: 1+ hours of lectures with plenty of hands-on examples. Lessons range from 3 to 15 minutes and are easy to follow.
Practice Materials: Cold Marketing Strategy Checklist, Cold Email Checklist, templates, and video tutorials to make the course more interactive and valuable.
Lifetime access to the course and its future updates.
24/7 Support: If you have questions, I will always be willing to answer them.
Complete the course and receive an Udemy certificate.
Sign up now! Don’t miss your chance to get the full guide on cold outreach with best practices, tips, and ready-to-use email templates. This course comes with a 30-day money-back guarantee!
Sounds like something that can help you achieve your goals? Click “Enroll”, and see you at the following lecture.
Description
Are you an aspiring data professional, business analyst, or someone looking to master the art of data visualization? Have you been searching for a comprehensive course that will take you from a novice to an expert in the world's leading data visualization tools? If your goal is to make impactful, data-driven decisions, then this course is tailor-made for you.
This unique 2-in-1 bundle course offers a high-level overview of both Power BI and Tableau, the leading tools in data visualization. The course is designed to provide you with the skills to create compelling, insightful visualizations, and dashboards that make data come alive.
In this course, you will:
Develop proficiency in using Power BI and Tableau, starting from the basics and progressing to advanced techniques.
Master the art of connecting to various data sources, data preparation, and transformation using Power Query in Power BI.
Create sophisticated data models and understand relationships, cardinality, and schema types.
Design and customize interactive charts, graphs, and reports that tell compelling data stories.
Explore the powerful DAX functions in Power BI and calculated fields in Tableau for in-depth data analysis.
Harness the full potential of Tableau by learning data categorization, creating custom hierarchies, and mastering different types of visualizations.
Why is Data Visualization Crucial? In today’s data-driven world, the ability to visualize and communicate data effectively is essential. It's not just about presenting data; it's about unlocking the story that the data holds. This course will equip you with the necessary skills to transform raw data into visually appealing and understandable formats that drive strategic decision-making.
Course Activities and Highlights:
Hands-on projects including building dashboards, creating custom charts, and performing complex data analysis.
Real-world case studies to apply your learning in practical scenarios.
Quizzes and exercises for self-assessment and deeper understanding.
Why Choose This Course? This course stands out because of its comprehensive coverage of both Power BI and Tableau, detailed practical examples, and a step-by-step approach that ensures all students, regardless of their starting skill level, can gain mastery.
Ready to Embark on Your Data Visualization Journey? Enroll now and take the first step towards mastering Power BI and Tableau, and elevating your data visualization skills. Transform your career and become an in-demand data visualization expert today!
Description
Do you want to set up your online shop and begin selling products? Are you looking for a huge potential customer base all over the world? Then Etsy is your can’t-miss opportunity!
My name is Julia Gubanova and today I’ll teach you how to work with the Etsy marketplace. I’m a marketer and an Etsy promotion specialist, who advises individual entrepreneurs and companies on business development in B2C markets. I work as a Chief Marketing Officer at YS-ART and I have no doubt that my extensive background and expertise in the field will help you start selling successfully on Etsy.
What will you learn in this course?
After completing this course, you will know how to work with Etsy Marketplace: from designing a shop's appearance to filling out listings and shipping profiles.
Explore valuable features of Etsy and learn how these benefits will help you earn money.
Understand the concept of mockups and their significance in creating engaging product previews for your Etsy listings.
Work with the key features and functionalities of Placeit, a user-friendly online platform that provides a wide range of customizable mockup templates.
Get the hang of Etsy analytics and start using Google Analytics for your shop.
Learn how to work with SEO for your Etsy shop.
Find out how to promote your Etsy shop on social media.
Learn how to unlock the hidden potential of your product and make it a must-have item in the market.
Get to know about other advertising strategies for your business.
Explore how to leverage the power of Chat GPT to enhance customer engagement and support in your Etsy shop.
Learn how to connect your Etsy shop to Google Analytics 4 from scratch.
Discover how to gain valuable insights into your shop's performance, customer behavior, and overall success with the help of Google Analytics 4.
Learn how to work with such valuable tools as SaleSamurai, LinkStore, etc.
Learn more about the benefits and functions of Etsy quickly and with pleasure.
What do we offer in our course?
Structured lessons with example questions
Checklist for listing and client portrait. Holiday Calendar.
Why should you choose this course?
Why should you choose us over other online Etsy courses?
You will have the opportunity to learn about Etsy from the top internet marketing professionals.
We are industry experts! WebPromoExperts has over 14 years of experience in internet marketing. Our agency is a Google Premier Partner and a Facebook Marketing Partner.
I have personally obtained a vast number of digital marketing qualifications and certifications such as Google Analytics Individual Qualification, Google Ads Individual Qualification, Bing Ads Accredited Professional, Search Ads 360 Certified, and others.
During our career, we have launched over 1,500 successful marketing strategies and marketing campaigns.
More than 500,000 internet marketers have enrolled in our online courses.
Our internet marketing courses are easy to understand. We train specialists for strategy, digital agency management, SMM, SEO, content marketing, PPC advertising, SERM, email marketing, web analytics, and other areas of digital marketing.
What else do you get?
Lifetime access to the course and its updates
A certificate from Udemy upon completion of the course
Should you be worried?
Sign up now! Every second you wait can cost you customers and sales!
This course comes with a 30-day money-back guarantee!
Click the "take this course" button to start preparation today!
If you find the coupon expired, please follow us on Telegram to watch for it if released again.
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