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ROAD TO AI
Chapter 0: Cohort Orientation
Chapter 1 Topic 1: VSCode and Python Installation
Chapter 1 Topic 2 : Why Python is used for AI/ML?
Chapter 1 Topic 3 : Variables and Data Types in Python
Chapter 1 Topic 4 : Comments in Python
Chapter 1 Topic 5 : User Input and Data Type Casting
Chapter 1 Topic 6 : String Formatting in Python
Chapter 1 Topic 7: Task#1
Chapter 1 Topic 8 : Operator Part 1
Chapter 1 Topic 9 : Operator part 2
Chapter 1 Topic 10 : Loops in Python
Chapter 1 Topic 11: Github Made Easy
Chapter 1 Topic 12: list, tuple, dictionary in python
Chapter 1 Topic 13: Big O Notation in Python
Chapter 1 Topic 14: Functions in Python
Chapter 1 Topic 15: Class in Python
Chapter 2 Topic 1: Concept of Module and pip in Python
Chapter 2 Topic 2: Numpy Part 1
Chapter 2 Topic 3: Numpy and Pandas
Chapter 2 Topic 4: Matplotlib module for visualization of Data
Chapter 3 : Summary of DS, AI, ML, DL in 1 video
Chapter 3 Topic 1: Feature and Label
Chapter 3 Topic 2: Simple Linear Regression in Statistics
Chapter 3 Topic 3: Train Test Splitting
Chapter 3 Topic 4: mutli variable regression in ML
Chapter 3 Topic 5: linear regression sklearn
Chapter 3 Topic 6: how does regression work and idea of loss function
Chapter 3 Topic 7.Gradient descent as loss function
Chapter 3 Topic 8. mini batch and Schocastic gradient descent
Chapter 3 Topic 9: classification basics
Chapter 3 Topic 10: KNN classfication using code
Chapter 3 Topic 11: Overfitting idea and KNN working procedure
Chapter 3 Topic 12: logistic regression part 1
Chapter 3 Topic 13: Logistic Regression part 2
Chapter 3 Topic 14: logistic regression code part
Chapter 3 Topic 15: All Supervised model Masterclass
Chapter 3 Topic 16: Exploratory Data Analysis