Notebooks from the Machine Learning Specialization
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Updated
Nov 18, 2022 - Jupyter Notebook
Notebooks from the Machine Learning Specialization
Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course
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
The complete code and notebooks used for the ACM Recommender Systems Challenge 2019
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
Capstone project by Campusx in DSMP course.
Notebook for Data Science - Machine Learning
This repository contains several beginner guide notebooks that explain how to solve common problems using machine learning algorithms.
Collection of marimo tutorials which encompass notebook/app examples in varying domains - CS/AI/ML
Machine Learning exercises in Python (Jupyter notebooks)
Example notebooks that illustrate how to generate knowledge-based features. Features can be used in a variety of ML models, including recommender systems.
LightGCN recommender system pytorch-geometric/Jupyter notebook implementation with Python
Machine Learning Homework Solution Notebooks (UCF CAP5610)
BookCrossing data cleansing and book Recommendations
NLP related concepts, challenges and datasets
🏠 📊 A data analysis notebook along with a recommendation system for Airbnb listings in Athens, Greece
A list of Notebooks created by me on Kaggle
movie recommendation system implemented by jupyter notebook
Complete Notebooks on how AnimeWorld dataset was created, EDA, and Recommendation Engine.
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