1. Analyzing Netflix Data
Imagine that you are on the data science/analyst team at
Netflix and you are tasked with using all the data that
the company has to help the company increase its revenue,
improve its customer retention, and increase its customer
base etc.
- What kinds of data would the company likely have ?
- How would you analyze this data using all the techniques you have learned so
far?
- What insights would each technique yield?
- How can the insights be used to help the company?
- How can the insights be used to recommend movies to users?
2. Python Hands-on: Implement one application of the above analysis in python
- Download the smallest movielens data set
- How would you pre-process the data for the module?
- How would you verify that the results of the analysis are valid or reasonable?
- How would you visualize or present the results to your mom/pop?
The recommended collaborative filtering python package is
implicit. However, I have only been able
to install it using Python 2.7 on some machines.