Netflix Recommendation Engine

This was my final project during my Masters in Big Data Marketing and Management at Toulouse Business School.

Purpose

The end goal was to build a model which can recommend movies to users based on their watched history.

Getting-Started

• Dataset with 5000 rows and 20 columns.
• R programming
• MySQL
• Dataiku
• Tableau Desktop and
• Tableau Prep

Defining the game plan

Business Problem

• Understanding the business context
• Identification of Key points
• Understanding the movie industry

Data Preparation

• Understanding the data.

• Check for correlations.
• Check for multicollinearity.
• Data Cleaning
• Feature Engineering/Feature scaling
• Preparing the final Dataset

Created my own recommendation algorithm

• My Algorithm in R_Programming

Testing/Iteration

• Testing the results

• Fine tuning the results

• Review session

Presentation.