swap-253 / Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis
This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Turicreate, A matrix Factorization system from scratch and a Deep Learning Recommender System which learns using embeddings. Besides this Market Basket Analysis using Apriori Algorithm has also been done. Deployme…
☆9Updated 9 months ago
Related projects ⓘ
Alternatives and complementary repositories for Recommender-Systems-Using-ML-DL-And-Market-Basket-Analysis
- Sales forecasting for the supply chain industry.☆11Updated 3 years ago
- Segmenting consumer based buying behavior and applying 80/20 rule to identify top customers/products/geographic locations driving 80% of …☆10Updated 5 years ago
- Product Recommender System for Retail Dataset☆12Updated 4 years ago
- Recommender System Repo☆33Updated 5 years ago
- building a recommendation system using graph search methodologies. We will be comparing these different approaches and closely observe t…☆63Updated 7 years ago
- A basic Course Recommendation app project built with Streamlit☆16Updated last year
- Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.☆46Updated 5 years ago
- Customer-base segmentation over e-commerce sales data☆24Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆41Updated 3 years ago
- A Machine Learning Case Study for Recommendation System of movies based on collaborative filtering and content based filtering.☆35Updated 5 years ago
- Matrix Factorization based Movie Recommender System for group of users.☆15Updated 7 years ago
- Customer Segmentation, RFM analysis and price elasticity☆17Updated 4 years ago
- Basic of Recommendation Models☆17Updated 6 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆23Updated 2 years ago
- Graph theory to optimize the road transportation network of a retail company☆17Updated last month
- Repo for paper Basket Recommendation with Multi-Intent Translation Graph Neural Network☆16Updated 3 years ago
- Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference☆18Updated 5 years ago
- A machine learning model for predicting delayed deliveries in the supply chain of USAID, and forecasting the delay time of a potential de…☆9Updated 5 years ago
- GHRS: Graph-based hybrid recommendation system with application to movie recommendation☆34Updated last week
- This is a book recommendation engine built using a hybrid model of Collaborative filtering, Content Based Filtering and Popularity Matrix…☆15Updated 3 years ago
- uses collaborative and content based filtering techniques☆14Updated 8 years ago
- ☆18Updated 5 months ago
- Laptop Prices Predictor is an end-to-end data science project that accurately predicts laptop prices using machine learning algorithms. T…☆14Updated 3 months ago
- Analytics for building Customer Journey Map in Ecommerce☆28Updated 4 years ago
- This project's aim is to build a restaurant recommendation system that will recommend restaurants to users based on several features☆10Updated 3 years ago
- Analysis for Customer Segmentation☆66Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Winter Term Project 2018☆9Updated 6 years ago
- Practice SQL via Jupyter Notebook. Explore an e-commerce database☆12Updated 4 years ago
- Objective of the project is to build a hybrid-filtering personalized news articles recommendation system which can suggest articles from …☆38Updated 4 years ago