The course is based on Jake VanderPlas' renowned book, Python Data Science Handbook: Essential Tools for Working with Data
https://jakevdp.github.io/PythonDataScienceHandbook/
Topics covered:
- Programming in Python
- Numpy
- Pandas
- Matplotlib
- Machine learning with scikit-learn, including
- Linear regression
- Gaussian and Multinomial naive Bayes classification
- KMeans, DBScan and Agglomerative clusering
- Principal Component Analysis
