sahilpatni95/recommendations-system-ibm

Analyze user behavior and social network data on the IBM Watson platform to build a recommendation engine based on surface content most likely to be relevant to a user

Recommendations with IBM

Project Motivation:

Analyze user behavior and social network data on IBM Watson platform to build a recommendation engine based on to surface content most likely to be relevant to a user. This project consisted of building various types of recommendation engines such as rank-based, user-user collaborative filtering, and matrix factorization.

Installations

This project requires Python 3.x and the following Python libraries installed:

• scikit-learn==0.21.2
• pandas==0.24.2
• numpy==1.16.4
• matplotlib==3.1.0

You will also need to have software installed to run and execute an iPython Notebook

install Anaconda, a pre-packaged Python distribution that contains all of the necessary libraries and software for this project.

Data:

The data is for IBM an online data science community through udacity.