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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'
An application for finding info for movies and watching their trailers. The app works with themoviedb.org. Working with Axios, setting up React routes, connecting to a database, building logic for dynamic display of incoming data.
[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.
An IMBD-like client application that aims to bring the movie discovery and information searching abilities of the IMBD website to the desktop environment.
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.