Python implementation of a case study in Module 3 of the MITProfessionalX course "Data Science: Data to insights".
The case study is: "Module 3.1 Case Study - Classification & Hypothesis Testing". This case study is about running logistic regression on data from the Space Shuttle Challenger Disaster.
If you can access it, the description of the project is here:
See the ipython notebook challenger.ipynb