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iPython notebook doing an analysis (Hypothesis testing, Logistic Regression) of data from the Space Shuttle Challenger disaster
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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:

Self-Help Documentation

See the ipython notebook challenger.ipynb

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