Python for Automation Testing Part 2 [ Selenium]
Python for Software Developers[ Regular Expression Case Study ]
Python for Software Developer [ Built in Functions ]
Python for Software Developers [ Multithreading | Threading ]
Mouse over for more info
Python for Automation Testing [ Unitesting | Test Cases | Test Suit ]
Python for Automation Testing Part 3 [ Selenium]
Day 1
1. Introduction to Python
2. What is Python?
3. Why Python?
4. Python History
5. Python Installation
6. Python Data Types
7. Python Data Structure
8. Control Flow
9. Functions
10 . Summary and Conclusion
Day 2
1. Advance Python
2. Object-Oriented Programming
3. Bank Applications Using OOPs
4. File Handling
5. Exception Handling
6. Summary and Conclusion
Day1: Introduction to Python
Day2: Data Science Introduction
Day3: Data Science Case Study
Session 1: Artificial Intelligence Introduction
5 Minutes Break
Session2: Machine Learning Introduction
Day 1 (9th October)
π³ Introduction to Machine Learning
π· What is Machine Learning?
πΆ Machine Learning
π· Why Machine Learning?
πΆ Machine Learning Applications
π· Machine Learning Algorithm
πΆ Introduction to Linear Regression
π· Case Study of Linear Regression
πΆ Summary and Conclusion
Day 2 (11th October)
π³ Introduction to Logistic Regression
πΆWhat is Logistic Regression?
π· Linear vs Logistic Regression
πΆ Why Logistic Regression?
π· Type of Logistic Regression
πΆ Logistic Regression Case Study (Demo).
π· Summary and Conclusion
πΆ What is Python?
π· Why Python?
πΆ Python Benefits
π· Python HandsOn
πΆ Python Applications
π· Internship in Python
πΆ GKTCS Internship Demo
π· Summary and Conclusion
πΆ What is Data Science?
π· Role of Data Scientist
πΆ Skills Needed to Become Data Scientist
π· Data Science Applications and Career
πΆ Data Science Life Cycle
πΆ GKTCS Prime Subscription for Data Science
π· GKTCS Internship
π· Summary and Conclusion
Mouse over for more infoπΆ What is Machine Learning?
π· Machine Learning Applications
πΆ Need for Machine Learning
π· Google: Machine Learning Example
πΆ Applications of Machine Learning
πΆ Types of Machine Learning
π· Machine Learning Life Cycle
πΆ GKTCS PG Level Courses for AIML
π· GKTCS Internship
π· Summary and Conclusion
1. What is Python?
2. Anaconda Installation Steps ( Python 3.8 )
3. Why Python is So Popular?
4. Career in Python
5. Skills needed for Python Internship
6. About GKTCS Online AI based Internship Platform
7. Questions and Answers
πΆ What is an Entrepreneurship?
π· What is Fastlane Entrepreneurship?
πΆ The Three Wealth Personalities.
π· The Sidewalk Roadmap
πΆ The Slow lane Roadmap
π· The Fastlane Roadmap
πΆ Side walker vs Slow lane vs Fast lane
π· The Five Fastlane Commandments
πΆ Entrepreneurship Career
π· GKTCS Online Internship Program
πΆ Questions and Answers
π· Summary and Conclusion
πΆ About GKTCS Innovations
π· Online Internship and Live Projects
πΆ Internship Registration Process
π· Internship Test Demo
πΆ 10 Minutes Internship Test
π· Internship Schedule
πΆ Subscriptions Plans and Benefits
π· Guided Internship Tour
πΆ Questions and Answers
π· Summary and Conclusion
Mouse over for more infoπΆ About GKTCS Innovations
π· Live Projects For Internship
πΆ Internship Registration Process
π· Internship Test Demo
πΆ 10 Minutes Internship Test
π· Internship Schedule
πΆ Subscriptions Plans and Benefits
π· Guided Internship Tour
πΆ Questions and Answers
π· Summary and Conclusion