• I will be investigating the dataset with the latest models.
• I will be using several python libraries such as numpy, matplot and seaborn.
• The code with a proper tidy documentation will be published daily on github with a readme file containing all the description needed and a summary of what is accomplished.
• The project will be divided into 4 phases:
1. Data Cleaning and initial questions to be investigated.
2. Practical statistics which includes A/B testing and regression testing.
3. Data Visualization including uni, bi and multi variant models.