Lesson 1 : Introduction to Numpy (Video)
Lesson 2 : Introduction to Pandas
Lesson 3 : Plotting in Python
Lesson 4 : Regression Models
Lesson 5 : Preprocessing Data
Lesson 6 : Decision Trees
Lesson 7 : Naive Bayes
Lesson 8 : Feature Unions
Lesson 9 :
Model Selection and Evaluation
Lesson 10 : Feature Selection Techniques
Case Study of Classic ML Problems
Case 1 : Linear Regression
Case 2 : Cancer Prediction
Case 3 : Online Learning
Case 4 : Customer Churn Prediction
Case 5 : Income Prediction
Case 6 : Predicting Employee Exit
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