A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
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Updated
Sep 21, 2017 - HTML
A recommendationn system for movies using Python and machine learning algorithms (k nearest neighbours, logistic regression). numpy. scikit-learn
A platform to read and share 📚 with other users, the platform tracks users by collecting there data and exposing the collected data as an API
Content recommendation API
P&G Hack - Recommendation platform
Rank-based, collaborative filtering and matrix factorisation techniques for Recommendation Engine for IBM Watson Studio platform
Experimental Design & Recommendations Project of Udacity Data Scientist Nanodegree
Building out a recommendation engine with IBM Studio for the Udacity Data Science Nano-degree Program
Recommendation System with IBM Watson
Articles recommendation engine for IBM Watson Studio platform
Sixth project of Udacity data scientist nanodegree
This project is a part of the Data Scientist Nanodegree by Udacity. It features an important collaboration with IBM, the provider of the dataset. The aim is to develop a recommendation engine and suggest new articles to the IBM Watson Community users.
🦕 example of recon-engine
This projects shows some techniques for recommendation engines using data from the IBM Watson Studio Platform.
Build a recommendation system using IBM Watson Studio platform.
Here is the Repository contains three Data Science projects which is Disaster_Response_Pipeline, Recommendation_with_IBM, Write a Data_Science Blog Post.
Recommendation Engine using real data from 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.
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