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Code and files associated with the Project called 'Deploying a Sentiment Analysis Model', part of the Machine Learning Engineer Nanodegree at Udacity. This project is the second of this Nanodegree, and is part of the module 'Machine Learning in Production'
A Final Project collaborated within a group of 3 team members. The description of our final project was to create a recommendation system (Using Weighted Graphs) and displaying the output with a UI).
A web project that utilizes HTML, CSS, and JavaScript to search for movies and retrieve detailed information about them would be a valuable tool for film enthusiasts.
Movie Recommendation System with Complete End-to-End Pipeline, Model Intregration & Web Application Hosted. It will also help you build similar projects.
[Finished] Historical movie review analysis and search review by keywoards. The data used is scrapped from IMBD page and stored in plain text. Technologies used: Lucene to inverted index and Mallet to classify.