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)