Basic of Recommendation Models
Implementing user-based and item-based collaborative filtering algorithms on MovieLens dataset and comparing the results.
Programming assignments completed in the PG Program for AI ML
Writing recommendation systems for movies, and performing data analysis on movie datasets to gain valuable insights.
This is an end to end book recommendation system.
Web scraping engine for manga, anime, and novel content. Aggregates and normalizes data from multiple upstream sources into a unified API.
This repo is a small, GitHub-ready Python project that demonstrates user-based collaborative filtering using a sample user–item interaction matrix and cosine similarity.
Project No.3 in the Udacity Data Scientist Nanodegree Program. Will build a recommendation engine, based on user behavior and social network in IBM Watson Studio’s data platform, to surface content most likely to be relevant to a user.
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.
Make articles recommendations for IBM Watson Studio's data platform.
A repository to practice with recommendation engines.
AI-powered GitHub Portfolio Intelligence System that analyzes developer profiles, detects technical evidence, generates Developer DNA, identifies portfolio gaps, and recommends what to build next. Public: ✅
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