Introduction

Building Web Application based on Machine Learning Movie Recommendation Model, collaborated with TrueFoundry and UT Dallas Data Science Club

Data Science Club: The University of Texas at Dallas

TrueFoundry

Datasets

Movie Dataset based on two files

• movies_metadata.csv = rawdata for movies’ exploratory variables
• ratings_small.csv = movies’ rating data mapped by userId(Unique key).

(Link: https://raw.githubusercontent.com/srihari-tf/recommender-system-tfy/master/file_name.csv, designated for Hand-on session)

Libraries used

• General: Pandas, Implicit
• Machine Learning: Tensorflow
• Sponsor-designated: Mlfoundry, Servicefoundry

servicefoundry

mlfoundry

Web-App Result:

Streamlit

Example (Double-Click to expand)