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Math Basics required for AI & Machine Learning

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𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀 𝘄𝗶𝘁𝗵 𝗖𝗵𝗮𝘁𝗚𝗣𝗧 Part -2 : Modeling Process and EDA

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1.1 Machine Learning Welcome

1.2 Machine Learning What is Machine Learning

2.1 Machine Learning Model Representation

2.7 Machine Learning Gradient Descent For Linear Regression

4.5 Machine Learning Features and Polynomial Regression

5.6 Machine Learning Vectorization

6.1 Machine Learning Classification

7.1 Machine Learning The Problem of Overfitting

7.3 Machine Learning Regularized Linear Regression

7.4 Machine Learning Regularized Logistic Regression

8.1 Machine Learning Non-Linear Hypotheses

8.3 Machine Learning Model Representation I

8.4 Machine Learning Model Representation II

8.6 Machine Learning Examples and Intuitions II

9.2 Machine Learning Backpropagation Algorithm

10.3 Machine Learning Model Selection and Train,Validation,Test Sets

10.4 Machine Learning Diagnosing Bias vs Variance

10.5 Machine Learning Regularization and Bias,Variance

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