Netflix Recommendation System

This project is a part of the practical training during my master’s studies at WSU, MI. I have implemented the rating based recommendation for the Netflix system using data mining algorithms in python.

My responsibilities were:

  • Understand and analyze the Netflix database containing user ratings on films and series
  • Preprocess historical data to remove inconsistency, additional data, null data etc.
  • Study top 3 implementation system from the last Netflix Competition 2010.
  • Improve the past algorithm using Neighbourhood based collaborative filtering method for the recommendation.
  • Improve the results of recommendation based on user ratings.
ROLE

Data Scientist

SKILLS NEEDED

Python libraries for data analytics, Data Mining algorithms implementation in python, use of numpy, pandas and matplotlib

DURATION

1 month (March 2018 – April 2018)

COPYRIGHT

Hima Patel, WSU – MI

VIEW CODE

“Many noteworthy projects were successfully executed by Hima. What impressed us was her innate understanding of the latest developments in the field and exploration of the future course of research on diverse topics. She grasped the latest issues, through innovative solutions and then gave optimum results. The skill and knowledge with which she handled her presentations were truly impressive.”

HR, TATVASOFT

“She is resilient and persevering with regards to her academics and left no opportunity to garner knowledge or develop requisite skills in order to succeed in her chosen field.”

HOD, GUJARAT TECHNOLOGICAL UNIVERSITY

“Her presentations were always backed by her logical reasoning and critical thinking, which I admire the most.”

PROFESSOR, Wayne State University
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