Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
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Updated
May 22, 2024 - Python
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Music Recommender System
Notebooks from the Machine Learning Specialization
Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
This repo contains demo code notebooks accompanying the AIPI 540: Deep Learning Applications course in Duke University's Master of Engineering in AI for Product Innovation program
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
🏠 📊 A data analysis notebook along with a recommendation system for Airbnb listings in Athens, Greece
BookCrossing data cleansing and book Recommendations
Example notebooks that illustrate how to generate knowledge-based features. Features can be used in a variety of ML models, including recommender systems.
Complete Notebooks on how AnimeWorld dataset was created, EDA, and Recommendation Engine.
This repository contains several beginner guide notebooks that explain how to solve common problems using machine learning algorithms.
LightGCN recommender system pytorch-geometric/Jupyter notebook implementation with Python
A python notebook for building collaborative, content-based, and ml-based recommender systems with Sklearn and Surprise
A collection of Jupyter notebooks on articles and material online related to recommender systems in python.
A Jupyter notebook for a project centered around 'Group Recommendation Systems (GRS)' utilizing the 'GcPp' clustering approach.
Machine Learning exercises in Python (Jupyter notebooks)
Repository will contain the files and notebook for demonstrating the different recommendation systems using a memory based approach.
Materials for all my UWaterloo Data Science workshops including summaries, notebooks, slides, and video. Topics include deep learning, clustering, recommender systems, and regression analysis.
This repo contains the implementation of netflix's original recommender system based on matrix factorization which changed the recommender systems forever 10 years back. Delve in to the notebooks to learn the intricacies of the magic box that knows your exact taste.
Capstone project by Campusx in DSMP course.
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