Machine Learning Course Python - Columbia University MS. Applied Analytics

I worked two semesters as a Teaching Assistant for Machine Learning course for MS.AA program at Columbia University in 2017.

These Notebooks are what I prepared for my students who have no programming backgroud. Help them to apply Machine Learning techniques with Python.

Notebooks outline:

Python basic. Key concepts in Python, a quick and comprehensive introduction to Python programming.
Pandas and Numpy. Introduction and application of Pandas and Numpy.
Linear regression. Basic linear regression and plot with Python.

Name		Name	Last commit message	Last commit date
Latest commit History 11 Commits
Clustering		Clustering
Regression		Regression
Numpy & Pandas.ipynb		Numpy & Pandas.ipynb
Python Tutorial.ipynb		Python Tutorial.ipynb
README.md		README.md