PacktPublishing / Building-Recommender-Systems-with-Machine-Learning-and-AI
Building Recommender Systems with Machine Learning and AI, published by Packt
☆104Updated 2 years ago
Alternatives and similar repositories for Building-Recommender-Systems-with-Machine-Learning-and-AI:
Users that are interested in Building-Recommender-Systems-with-Machine-Learning-and-AI are comparing it to the libraries listed below
- Building Recommendation Systems with Python [Video], by Packt Publishing☆88Updated 2 years ago
- Hands-On Recommendation Systems with Python published by Packt☆259Updated 2 years ago
- A Content Based And A Hybrid Recommender System using content based filtering and Collaborative filtering☆17Updated 6 years ago
- Implemented an A/B Testing solution with the help of machine learning☆50Updated 3 years ago
- Implemented User Based and Item based Recommendation System along with state of the art Deep Learning Techniques☆62Updated 4 years ago
- Source Code for 'Applied Recommender Systems with Python' by Akshay Kulkarni, Adarsha Shivananda, Anoosh Kulkarni, and V Adithya Krishnan☆24Updated 2 years ago
- This repository contains the code for building movie recommendation engine.☆77Updated 7 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆37Updated 6 years ago
- Recommender System is an information filtering tool that seeks to predict which product a user will like, and based on that, recommends a…☆33Updated 4 years ago
- python package to help preparing Dataframes (csv ... ) for LightFM module for easy Training☆20Updated 2 years ago
- An introduction to recommendation systems in Python☆187Updated 4 years ago
- Contains code which covers various methods for recommending movies, some of the methods include matrix factorisation , deep learning base…☆43Updated 6 years ago
- Source Code for 'Machine Learning with PySpark' by Pramod Singh☆115Updated 6 years ago
- A repository of machine learning codes written for re-usability☆143Updated 5 years ago
- Portofolio repository for Udacity Data Scientist Nanodegree☆41Updated 4 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆24Updated 7 months ago
- Machine Learning Case study on customer segmentation and prediction of groups.☆31Updated 6 years ago
- Set of notebooks analysing and discussing the ideas presented at Coursera's Recommender Systems course☆30Updated 3 years ago
- A Hybrid recommendation engine built on deep learning architecture, which has the potential to combine content-based and collaborative fi…☆32Updated 6 years ago
- A Deep Learning Based Context-Aware Recommendation Library☆22Updated 4 months ago
- Recommender System Repo☆33Updated 5 years ago
- 🛒 Simple recommender with matrix factorization, graph, and NLP. Beating the regular collaborative filtering baseline.☆142Updated 9 months ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆72Updated 5 years ago
- Udacity Data Science Nanodegree Capstone☆36Updated 4 years ago
- Book Projects☆24Updated 4 years ago
- Recommendation System using ML and DL☆489Updated 2 years ago
- Learning statistics with Python☆53Updated 4 years ago
- Implementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python☆57Updated 5 years ago
- A collection of Medium posts☆55Updated 6 years ago
- Recommendation Systems This is a workshop on using Machine Learning and Deep Learning Techniques to build Recommendation Systesm Theory:…☆190Updated 9 months ago