1.introduction

2.install anaconda

3.jupyter

4.python basic

5.NumPy library

6.pandas

7.Pandas Exercise

8.matplotlib

9.Seaborn

10. Panda’s built in data visualization

11.plotly and cufflinks

12.geographical plotting

13 Data Capstone

14. Intro to Machine Learning

15.Linear Regression

16.Cross Validation and Bias-Variance Trade Off

17.Logistic Regression

18.Kth neareast Neighbour

19.Decision Tree

[20.Support Vector Machines](https://calteen.notion.site/20-Support-Vector-Machines-0121f27c54694657b61a30e959e91f71)