1 Introduction (12.14 MB) 10 Reading the CSV Files Using Different Parameters in Pandas- Part 1 (176.09 MB) 11 Reading the CSV Files Using Different Parameters in Pandas- Part 2 (141.2 MB) 12 Class Project 1 (40.36 MB) 13 Class Project 2 (38.91 MB) 2 Introduction to machine learning in python (111.45 MB) 3 Understanding Machine Learning (95.13 MB) 4 Why use Python for Machine Learning (69.6 MB) 5 Getting Started (125.89 MB) 6 Basics of Python and Interface of the Jupyter Notebook (78.44 MB) 7 Numpy and it s Inbuilt Functions- Part 1 (83.28 MB) 8 Numpy and it s Inbuilt Functions- Part 2 (191.31 MB) 9 8 Learning Data Frames and Data Series in Pandas (157.7 MB)