This repository contains exploratory data analysis and marketbasket analysis for an online giftstore dataset.

The data set provided constitutes the data of a Café Chain for one of its restaurants. We need to do a thorough analysis of the data and come up with the following analysis: •Exploratory Analysis •Menu Analysis •Price Analysis

A simple Market Basket Analysis that uses the apriori algorithm to find affinities between retail products

Data Analytics Programs

Complete package for all Data Science models using R. Starting form Preprocessing, Data Manipulation, Feature Engineering, Model Building, and Model Validation.

Using Apriori Algorithm to do Market Basket Analysis of Customers purchasing behaviours. It can predict what the customer is going to buy next by looking at the products he is buying.

Data Analytics

This repository contains the implementation of association rule learning algorithms in Machine Learning.

I wanted to showcase to companies how can data analysis help improve the company profit.

This repository contains my research work on building the state of the art next basket recommendations using techniques such as Autoencoders, TF-IDF, Attention based BI-LSTM and Transformer Networks

Association Rule Mining: Apriori Algorithm

Recommendation systems for e-commerce sites

A Kaggle dataset Market_Basket_Optimization, An Apriori Algorithm is used to recommend products for providing free or for suggestions.

Market Basket Analysis of an electronics company transaction data set using apriori

Market Basket Analysis and Exploratory Data Analysis Using SQL

Portfolio in R