Get ready to enhance your career profile with upgraded skill in Genetic Algorithm
Get ready to apply Genetic Algorithm to practical optimization problem quickly
Get ready to implement Genetic Algorithm in Python / Python Library quickly
ENROLL FOR THE COURSE NOW IF:
· You want to quickly Learn Genetic Algorithm to solve AI & ML problems.
· You want to quickly master the GA based solutions to optimization problems.
· You want to quickly develop GA based applications in Python.
WHAT'S IN THE COURSE?
· Approximately Three Hours of video content including
· Quick Introduction to Genetic Algorithm with Examples
· Four applications of Genetic Algorithm completely implemented in Python
· Four assignments on developing application of Genetic Algorithm using Python.
COURSE STRUCTURE:
This course is designed such that it can be completed in minimal time with the maximum outcome. The course is divided into Eleven sections namely
(i) GA Flow Diagram, (ii) GA Biological Analogy, (iii) GA Essential Five Phases,
(iv) GA Calculations- Diophantine Equation, (v). GA Diophantine Equation - Python Implemented,
(vi) GA Application- Message Generation (Password Cracking), (vii) GA Python Libraries,
(viii) GA Application- Knapsack Problem, (ix) GA Application- Eight Queen Problem,
(x) GA Issues and Application Types and (xi) GA Quiz with Issues before GA Practitioner.
Each of these sections will help you learn and master the Genetic Algorithm with ease, providing you with the knowledge about various steps which are essential to successfully complete any optimization project.
WHAT DO YOU GET AFTER YOU ENROLL FOR THIS COURSE?
· Lifetime access to the content of this course
· Grasp of the Five-Phases of Genetic Algorithm with application development to AI/ML problems.
· Master the essential skills for implementation of Genetic Algorithm using Python and Python Library
WHY TAKE THIS COURSE?
Each of the lectures is designed such that the learner can get a clear understanding of all the steps in the genetic algorithm without involving unnecessary mathematical complexities. Four practical applications have been demonstrated step-by-step either hand-coded or by using Python / Python Library. The same problems are assigned as practice exercise to crystalize the practical implementation of Genetic Algorithm to optimization problems from the domain of AI. The Annotated GA Quiz Show shall help the learner to review the understanding of the material presented.
OUTCOMES OF THE COURSE:
UNDERSTAND the Genetic Algorithm viz-a-viz traditional conventional algorithms.
KNOW the Essential Five Phases of the Genetic Algorithm.
LEARN to implement the Genetic Algorithm using Python and Python Library.
IDENTIFY the problem domains to apply the Genetic Algorithm.
So why wait? Enroll Now!!!
Albert Einstein said, “Everything must be made as simple as possible, but not simpler”.
This course aims at introducing the GA in simple and precise way without unnecessary mathematical complexity. It focuses mainly on bringing the genetic algorithm concepts home in simplest possible manner. The contents are explained in simplest possible manner such that anyone interested in learning the application of GA can practice the given examples without much ado. Each of the lecture videos is short, precise and focuses on single idea. The practical GA phases are introduced right at the beginning along with practice example. The minimum required theory is covered in the middle of the course. This course aims at introducing the learner to working of GA taking him/her from known-to-unknown. GA is evolutionary algorithm; the lesson plan of the GA module here has been designed to support evolutionary learning.
Just-In-Time Learning with Just-In-Time Teaching of Just-What-Is-Required.
What is GA: Evolutionary Optimizing Algorithm
Why GA: Small, Simple and Effective
How GA: Five Simple Phases
When GA: Large Solution Space
Where GA: Artificial Intelligence and Machine Learning
Get ready to enhance your career profile with upgraded skill in Genetic Algorithm
Get ready to apply Genetic Algorithm to practical optimization problem quickly
Get ready to implement Genetic Algorithm in Python / Python Library quickly
ENROLL FOR THE COURSE NOW IF:
· You want to quickly Learn Genetic Algorithm to solve AI & ML problems.
· You want to quickly master the GA based solutions to optimization problems.
· You want to quickly develop GA based applications in Python.
WHAT'S IN THE COURSE?
· Approximately Three Hours of video content including
· Quick Introduction to Genetic Algorithm with Examples
· Four applications of Genetic Algorithm completely implemented in Python
· Four assignments on developing application of Genetic Algorithm using Python.
COURSE STRUCTURE:
This course is designed such that it can be completed in minimal time with the maximum outcome. The course is divided into Eleven sections namely
(i) GA Flow Diagram, (ii) GA Biological Analogy, (iii) GA Essential Five Phases,
(iv) GA Calculations- Diophantine Equation, (v). GA Diophantine Equation - Python Implemented,
(vi) GA Application- Message Generation (Password Cracking), (vii) GA Python Libraries,
(viii) GA Application- Knapsack Problem, (ix) GA Application- Eight Queen Problem,
(x) GA Issues and Application Types and (xi) GA Quiz with Issues before GA Practitioner.
Each of these sections will help you learn and master the Genetic Algorithm with ease, providing you with the knowledge about various steps which are essential to successfully complete any optimization project.
WHAT DO YOU GET AFTER YOU ENROLL FOR THIS COURSE?
· Lifetime access to the content of this course
· Grasp of the Five-Phases of Genetic Algorithm with application development to AI/ML problems.
· Master the essential skills for implementation of Genetic Algorithm using Python and Python Library
WHY TAKE THIS COURSE?
Each of the lectures is designed such that the learner can get a clear understanding of all the steps in the genetic algorithm without involving unnecessary mathematical complexities. Four practical applications have been demonstrated step-by-step either hand-coded or by using Python / Python Library. The same problems are assigned as practice exercise to crystalize the practical implementation of Genetic Algorithm to optimization problems from the domain of AI. The Annotated GA Quiz Show shall help the learner to review the understanding of the material presented.
OUTCOMES OF THE COURSE:
UNDERSTAND the Genetic Algorithm viz-a-viz traditional conventional algorithms.
KNOW the Essential Five Phases of the Genetic Algorithm.
LEARN to implement the Genetic Algorithm using Python and Python Library.
IDENTIFY the problem domains to apply the Genetic Algorithm.
So why wait? Enroll Now!!!
Albert Einstein said, “Everything must be made as simple as possible, but not simpler”.
This course aims at introducing the GA in simple and precise way without unnecessary mathematical complexity. It focuses mainly on bringing the genetic algorithm concepts home in simplest possible manner. The contents are explained in simplest possible manner such that anyone interested in learning the application of GA can practice the given examples without much ado. Each of the lecture videos is short, precise and focuses on single idea. The practical GA phases are introduced right at the beginning along with practice example. The minimum required theory is covered in the middle of the course. This course aims at introducing the learner to working of GA taking him/her from known-to-unknown. GA is evolutionary algorithm; the lesson plan of the GA module here has been designed to support evolutionary learning.
Just-In-Time Learning with Just-In-Time Teaching of Just-What-Is-Required.
What is GA: Evolutionary Optimizing Algorithm
Why GA: Small, Simple and Effective
How GA: Five Simple Phases
When GA: Large Solution Space
Where GA: Artificial Intelligence and Machine Learning
Are you ready to master the fundamentals of C and C++ programming languages and take your coding skills to the next level? Look no further! Our comprehensive "C and C++ Programming Course Practical in Hindi, 2 in 1" on Udemy is designed to equip you with the essential knowledge and hands-on experience needed to excel in these powerful and versatile languages.
This C and C++ course teaches you the powerful, fast, and popular C and C++ programming language from scratch, assuming you have only basic computer knowledge. It focuses on teaching C++ concepts, both old and new, with clear examples. It builds upon the basic language facilities used to build more complex programs with classes, operator overloading, composition, inheritance, polymorphism, templates, concurrency, etc. C++ programming skills and learning about the underlying computer science concepts will allow you to pick up other programming languages quickly, good skills in C++ can open up the door to many different industries and jobs. Common fields and positions that use the C++ programming language include the gaming industry, financial institutions, database engineering, computer engineering, and more.
Free workbook with this course for practice.
"Free Bonus Course for You! Learn C, C++ और AI - हिंदी में ChatGPT के साथ, Expand your skills with our complimentary course. Enroll now!
Free Bonus Course: how to use ChatGPT in C and C++
Introduction of ChatGPT in Hindi
How to use ChatGPT in Hindi
How ChatGPT Assists in C Programming in Hindi
How ChatGPT Assists in C++ Programming in Hindi
How ChatGPT Assists in C++ Advanced Programming in Hindi
Projects in C language using ChatGPT- Currency Convertor, BMI Calculator, Games
Projects in C++ using ChatGPT Hindi- Currency Convertor, BMI Calculator, Games
Who Should Learn:
No prior programming experience is required. It is ideal for those looking to start their coding journey.
Complement your academic studies with practical programming skills.
Enhance your career prospects by adding C and C++ proficiency to your skillset.
Enroll in our “C and C++ Programming Course Practical in Hindi, 2 in 1” free video tutorial or with 80-90% discount offered by Udemy and unlock the potential of C and C++ programming. Start developing robust applications, sharpen your problem-solving skills, and advance your career in the ever-evolving tech industry.
Join us on this practical coding journey!
C, C++, and ChatGPT Course Outline:
Module - 1: C Programming Course in Hindi
C Programming Introduction
What is the difference between C and C++
What is Program, Syntax, and Compiler - C programming in Hindi
First C Program and its Structure
Comments in C Programming
Use of Variables, Constants, Datatypes, and Keywords in C Programming
what are Arithmetic Operators in C language
Relational Operators in C
Logical Operators in C
Bitwise Operator in C Programming
Assignment Operators in C
Operator Precedence and Associativity in C
Constants in C
Selection and Repetition Statements Practice
If else programming practice in C
Nested if else Statement in C
Loops in C, loop while and loop do while
Functions in C Programming Language
Access of Local and Global Variables in C in Hindi
Arrays in C Programming
Pointers in C Programming
Strings in C Programming
C Structures and Uses in C Programming
Unions In C Language
Concept of Header Files in C
Preprocessors in C Language
Exception Handling in C
Conclusion - C Programming
Module - 2: C++ Programming Course in Hindi
Introduction
Difference in C & C++ Programming in Hindi
Variables, Constants, Datatypes, Keywords in Hindi
Local Global
Operators In C ++
Selection And Iteration Statements
If-Else Program in C++ Programming
Loops Syntax in Programming Languages
Arrays
Functions in C++ Language
Pointers in C ++ Programming
Date And Time In C ++
Object-oriented Programming (OOPs) Language Concepts in Hindi
Classes and Objects
Inheritance Through Example
Overloading in C++
Polymorphism in C++ Programming
Abstraction in C++
Encapsulation in C++ in Hindi
Exception handling
Preprocessors in C ++ Programming
Data Structures in C++
File Handling in C++
Conclusion
Module - 3: C, C++ with ChatGPT Course in Hindi
How to use ChatGPT in Hindi
C Programming with ChatGPT in Hindi
C++ Programming with ChatGPT in Hindi
C++ Advanced Programming with ChatGPT in Hindi
Projects in C with ChatGPT- Currency Convertor, BMI Calculator, Games
Projects in C++ with ChatGPT in Hindi- Currency Convertor, BMI Calculator, Games
Conclusion - How to use ChatGPT to become C and C++ Programming Pro
Join our "C and C++ Programming with ChatGPT Practical in Hindi 3 in 1" to unlock the full potential of programming languages and harness the power of ChatGPT in your applications. Start your learning journey today and become proficient in C, C++, and ChatGPT integration, all while immersing yourself in the rich and interactive learning environment provided by our expert instructors.
Course Highlights:
Introduction What is C++, what differences are C & C++, What is First program of C++, How to add comments in C++ language Variables, Constants, Datatypes, and Keywords Scope of Variables-local and global Operators in C++ Selection and Iteration statements If-else syntax and programming Loops syntax and programming Arrays in C++ Functions in C++ Pointers in C++ Date and time in C++ OOPS Concepts Classes and objects Inheritance, Overloading Polymorphism, Abstraction, Encapsulation, Exception handling, Data structures in C++, File Handling In C++, C++ preprocessor & Conclusion, How Chat GPT help in Software projects
Are you ready to master the fundamentals of C and C++ programming languages and take your coding skills to the next level? Look no further! Our comprehensive "C and C++ Programming Course Practical in Hindi, 2 in 1" on Udemy is designed to equip you with the essential knowledge and hands-on experience needed to excel in these powerful and versatile languages.
This C and C++ course teaches you the powerful, fast, and popular C and C++ programming language from scratch, assuming you have only basic computer knowledge. It focuses on teaching C++ concepts, both old and new, with clear examples. It builds upon the basic language facilities used to build more complex programs with classes, operator overloading, composition, inheritance, polymorphism, templates, concurrency, etc. C++ programming skills and learning about the underlying computer science concepts will allow you to pick up other programming languages quickly, good skills in C++ can open up the door to many different industries and jobs. Common fields and positions that use the C++ programming language include the gaming industry, financial institutions, database engineering, computer engineering, and more.
Free workbook with this course for practice.
"Free Bonus Course for You! Learn C, C++ और AI - हिंदी में ChatGPT के साथ, Expand your skills with our complimentary course. Enroll now!
Free Bonus Course: how to use ChatGPT in C and C++
Introduction of ChatGPT in Hindi
How to use ChatGPT in Hindi
How ChatGPT Assists in C Programming in Hindi
How ChatGPT Assists in C++ Programming in Hindi
How ChatGPT Assists in C++ Advanced Programming in Hindi
Projects in C language using ChatGPT- Currency Convertor, BMI Calculator, Games
Projects in C++ using ChatGPT Hindi- Currency Convertor, BMI Calculator, Games
Who Should Learn:
No prior programming experience is required. It is ideal for those looking to start their coding journey.
Complement your academic studies with practical programming skills.
Enhance your career prospects by adding C and C++ proficiency to your skillset.
Enroll in our “C and C++ Programming Course Practical in Hindi, 2 in 1” free video tutorial or with 80-90% discount offered by Udemy and unlock the potential of C and C++ programming. Start developing robust applications, sharpen your problem-solving skills, and advance your career in the ever-evolving tech industry.
Join us on this practical coding journey!
C, C++, and ChatGPT Course Outline:
Module - 1: C Programming Course in Hindi
C Programming Introduction
What is the difference between C and C++
What is Program, Syntax, and Compiler - C programming in Hindi
First C Program and its Structure
Comments in C Programming
Use of Variables, Constants, Datatypes, and Keywords in C Programming
what are Arithmetic Operators in C language
Relational Operators in C
Logical Operators in C
Bitwise Operator in C Programming
Assignment Operators in C
Operator Precedence and Associativity in C
Constants in C
Selection and Repetition Statements Practice
If else programming practice in C
Nested if else Statement in C
Loops in C, loop while and loop do while
Functions in C Programming Language
Access of Local and Global Variables in C in Hindi
Arrays in C Programming
Pointers in C Programming
Strings in C Programming
C Structures and Uses in C Programming
Unions In C Language
Concept of Header Files in C
Preprocessors in C Language
Exception Handling in C
Conclusion - C Programming
Module - 2: C++ Programming Course in Hindi
Introduction
Difference in C & C++ Programming in Hindi
Variables, Constants, Datatypes, Keywords in Hindi
Local Global
Operators In C ++
Selection And Iteration Statements
If-Else Program in C++ Programming
Loops Syntax in Programming Languages
Arrays
Functions in C++ Language
Pointers in C ++ Programming
Date And Time In C ++
Object-oriented Programming (OOPs) Language Concepts in Hindi
Classes and Objects
Inheritance Through Example
Overloading in C++
Polymorphism in C++ Programming
Abstraction in C++
Encapsulation in C++ in Hindi
Exception handling
Preprocessors in C ++ Programming
Data Structures in C++
File Handling in C++
Conclusion
Module - 3: C, C++ with ChatGPT Course in Hindi
How to use ChatGPT in Hindi
C Programming with ChatGPT in Hindi
C++ Programming with ChatGPT in Hindi
C++ Advanced Programming with ChatGPT in Hindi
Projects in C with ChatGPT- Currency Convertor, BMI Calculator, Games
Projects in C++ with ChatGPT in Hindi- Currency Convertor, BMI Calculator, Games
Conclusion - How to use ChatGPT to become C and C++ Programming Pro
Join our "C and C++ Programming with ChatGPT Practical in Hindi 3 in 1" to unlock the full potential of programming languages and harness the power of ChatGPT in your applications. Start your learning journey today and become proficient in C, C++, and ChatGPT integration, all while immersing yourself in the rich and interactive learning environment provided by our expert instructors.
Course Highlights:
Introduction What is C++, what differences are C & C++, What is First program of C++, How to add comments in C++ language Variables, Constants, Datatypes, and Keywords Scope of Variables-local and global Operators in C++ Selection and Iteration statements If-else syntax and programming Loops syntax and programming Arrays in C++ Functions in C++ Pointers in C++ Date and time in C++ OOPS Concepts Classes and objects Inheritance, Overloading Polymorphism, Abstraction, Encapsulation, Exception handling, Data structures in C++, File Handling In C++, C++ preprocessor & Conclusion, How Chat GPT help in Software projects
Do you want to learn data science, machine learning, deep learning, and AI but you are not sure about the programming language to learn?
Or you may be using Python and R, but you are tired of their low speed.
Julia is a modern programming language developed for data science, machine learning and AI. It is a dynamically typed language which is easy to learn and use and has the speed of C.
This is the first of a series of courses I plan to teach data science, machine learning and deep learning using Julia. Other courses, "Data Science with Julia", "Machine Learning with Julia" and "Deep Learning with Julia" will follow. In this course, you will learn programming in Julia proficiently. In the upcoming courses you will learn both machine learning and deep learning algorithms and how to build those algorithms from scratch using Julia.
Besides being ideal for data science and machine learning, Julia is also ideal for production environments. Being one of the most modern languages, Julia can be used to build entire applications and microservices.
Julia combines best features of dynamic languages like Python and R and low-level languages like C, C# and Java. You can develop a machine learning model or an algorithm in Julia and use that code in a production environment. You don't have to use different languages for development and production.
Do you want to learn data science, machine learning, deep learning, and AI but you are not sure about the programming language to learn?
Or you may be using Python and R, but you are tired of their low speed.
Julia is a modern programming language developed for data science, machine learning and AI. It is a dynamically typed language which is easy to learn and use and has the speed of C.
This is the first of a series of courses I plan to teach data science, machine learning and deep learning using Julia. Other courses, "Data Science with Julia", "Machine Learning with Julia" and "Deep Learning with Julia" will follow. In this course, you will learn programming in Julia proficiently. In the upcoming courses you will learn both machine learning and deep learning algorithms and how to build those algorithms from scratch using Julia.
Besides being ideal for data science and machine learning, Julia is also ideal for production environments. Being one of the most modern languages, Julia can be used to build entire applications and microservices.
Julia combines best features of dynamic languages like Python and R and low-level languages like C, C# and Java. You can develop a machine learning model or an algorithm in Julia and use that code in a production environment. You don't have to use different languages for development and production.