🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.

python template-matching numpy scikit-learn pocket basic-learning artificial-neural-networks scratch decision-tree-classifier multiclass-classification recommendation-algorithm perceptron-learning-algorithm binary-perceptron adaboost-learning reward-and-punishment multiclass-kersel als-algorithm

• Updated May 9, 2019
• Python

A model to recommend movies based on collaborative filtering (using ALS algorithm) and perform various analysis on the data.

bigdata pyspark recommendation-system matplotlib big-data-analytics movies-recommendation sparkql als-algorithm

• Updated Jan 7, 2021
• Python

Are you confused about what to binge-watch next? Welcome to the Precog-Movie-Recommender. Just enter ratings about 5 movies which we will show you, and we will recommend you what to view next.

machine-learning matrix-factorization movie-recommendation imdb-dataset recomender-system als-algorithm

• Updated Jul 7, 2020
• Python

Проект создания рекомендательной системы для библиотеки

matrix collaborative-filtering matrix-factorization recommendation-system tf-idf implicit cosine-similarity hybrid-recommender-system bayesian-personalized-ranking content-based-filtering als-algorithm rank-fm csr-matrixes factroization-machines

• Updated Oct 25, 2022
• Jupyter Notebook

Exploring Recommendation Systems: Code examples comparing implementations using PySpark (ALS) and TensorFlow Recommenders. Dived into the practical examples and Youtube's case study provided in the README.

neural-network collaborative-filtering pyspark recommendation-system recsys recommender-system content-based-recommendation als-algorithm

• Updated May 11, 2025
• Jupyter Notebook

collaborative-filtering feature million-song-dataset content-based-recommendation vggish fastapi music-recommendation-system als-algorithm

• Updated Jul 20, 2026
• Jupyter Notebook

Restaurants Recommendation System

machine-learning spark als-algorithm

• Updated Jan 27, 2023
• HTML

Collection of my ML projects using PySpark

regression collaborative-filtering pyspark classification recommendation-system pyspark-machine-learning als-algorithm

• Updated Jun 29, 2020
• Jupyter Notebook

python tensorflow steam-games collaborative-filtering pyspark recommendation-system recommender-system implicit-feedback alternating-least-squares neural-collaborative-filtering ncf als-algorithm pyspark-sql

• Updated Oct 21, 2024
• Jupyter Notebook

A collaborative filtering recommender system

data-science machine-learning recommendation-system data-analysis recommendation-engine recommender-system als recommendation-algorithm als-algorithm

• Updated May 30, 2026
• HTML

Système de recommandation de films comparant les algorithmes ALS et SVD Implémentation manuelle d'ALS vs SVD de scikit-surprise sur le dataset MovieLens

ai recommendation-system recommender-system svd-factorization als-algorithm

• Updated Nov 27, 2025
• Jupyter Notebook

Built a movie recommender system in PySpark/Databricks, benchmarking popularity baselines, collaborative filtering (item- and user-based cosine similarity), and ALS matrix factorization (explicit and implicit) against each other with rigorous train/val/test evaluation. Extended the project with Jaccard similarity and MinHash-based market seg.

spark collaborative-filtering matrix-factorization minhash cosine-similarity jaccard-similarity databricks popularity-recommender als-algorithm

• Updated Sep 1, 2026
• Jupyter Notebook

May - June 2022

collaborative-filtering recsys ranking-algorithm als-algorithm

• Updated Feb 24, 2023
• Jupyter Notebook

This project is a web application for recommending restaurants using Google Maps data and AI-based recommendations. It allows users to view, rate, and review restaurants, and provides personalized recommendations based on user preferences and reviews.

machine-learning kafka big-data mongodb clustering sklearn pyspark flask-application recommendation-system unsupervised-learning fastapi als-algorithm

• Updated Aug 21, 2024
• Python

🔍 Analyze large datasets using the ALS algorithm for predictive modeling and improve recommendations in various applications.

git machine-learning png spark bigdata sparkml recommender recommendation-system als recommendation recommender-systems recommendation-algorithms dss recommendation-algorithm alternating-least-squares knn-algorithm sparkql als-algorithm

• Updated Oct 14, 2026
• Python