Machine learning for beginner(Data Science enthusiast)

The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previously purchased item will be in user's next order. Customer segmentation and affinity analysis are done to study customer purchase patterns and for better product marketing and cross-selling.

rnn based model for recommendations

kNN-based next-basket recommendation

Includes top ten must know machine learning methods with R.

🍊 📦 Frequent itemsets and association rules mining for Orange 3.

About Next Basket Recommendations Based on Neural Network.

Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦

Python project for Market Basket Analysis. Generates synthetic retail transactions, mines frequent itemsets using Apriori & FP-Growth, derives association rules, and outputs CSVs + visualizations. Portfolio-ready example demonstrating data science methods for uncovering product co-purchase patterns.

Market Basket Analysis with Recommendation Algorithms & Shiny App Implementation of a Product Recommendation System for an Online Retailer

An Interactive Approach to Understanding Unsupervised Learning Algorithms

Discover hidden patterns and relationships in unstructured data with Python

Grocery Recommendation on Instacart Data

Hadoop MapReduce implementation of Market Basket Analysis for Frequent Item-set and Association Rule mining using Apriori algorithm.

A Recommender system that predicts your next order based on your previous purchases. Also, it discuss the association between product purchases.

Apriori for association rule mining with Python bindings 🦀🐍

Simple python implementation of Apriori Algorithm to extract association rules from a given set of transactions

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple…

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This repo contains my market basket analysis project in Python.