End-to-End Movie Recommendation System using NLP, TF-IDF & FastAPI

Description

Instructor – Akarsh Vyas & Dhanesh Malviya All code files - https://github.com/master-temp/movie-rec course link - https://www.sheryians.com/courses/courses-details/Data%20Science%20and%20Analytics%20with%20GenAI Welcome to a real-world end-to-end Machine Learning project! In this project, we build and deploy a content-based movie recommendation system from scratch using Natural Language Processing (NLP) techniques. You’ll learn how recommendation engines actually work behind platforms like Netflix and Prime Video and how to deploy them using FastAPI as a production-ready backend. 00:00:00 - 00:01:34 - Introduction 00:01:34 - 00:28:43 - Data Gathering and cleaning 00:28:43 - 00:42:56 - NLP Text preprocessing 00:42:56 - 00:56:31 - Text Vectorization 00:56:31 - 01:07:04 - What is cosine similarity 01:07:04 - 01:18:04 - Testing and making the pickle file 01:18:04 - 02:07:34 - Making API and UI 02:07:34 - 02:09:05 - Outro