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)