A recommendation system for IBM Watson Studio platform that analyzes user-article interactions and suggests relevant content using multiple recommendation techniques
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Updated
Jun 14, 2025 - HTML
A recommendation system for IBM Watson Studio platform that analyzes user-article interactions and suggests relevant content using multiple recommendation techniques
Recommendations with IBM Data (knowledge-based plus collaborative filtering both model-based and neighborhood-based)
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
Content recommendation API
Analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles.
Movie Recommendation Site made from Flask, JS, CSS and HTML.
Recommendation engine for IBM Watson.
This projects shows some techniques for recommendation engines using data from the IBM Watson Studio Platform.
This project is to analyze the interactions that users have with articles on the IBM Watson Studio platform, and make recommendations to them about new articles they might like. Recommending articles that are most pertinent to specific users is beneficial to both service providers and users.
Using XGboost to predict accommodation listing prices
Sixth project of Udacity data scientist nanodegree
A Django-powered book recommendation engine with Bootstrap 5 frontend. Features personalized suggestions, user profiles, and rating system. Clean, responsive UI with landing page, authentication flows, and accessible design. Lightweight implementation using plain CSS (no SCSS) for easy customization.
Articles recommendation engine for IBM Watson Studio platform
This repo contains scripts used for game analysis and recommendation for the project GamerHood
As part of the udacity.com Data Scientist nanodegree, this is a blog to document my experience with the program. This project was created using a GitHub template created by user chabaldwin. The blog discusses the 4 different projects starting with a dataset I selected from Kaggle that shows Real Estate Data for NYC Property Sales across the 5 bo…
Recommendation Engine using real data from IBM Watson Studio platform.
Recommend Me : A Django-built web-app which recommends movies based on user's watch history.
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