Data Science Python Beginner Level Project

"Frequent Mining Algorithms" is a Python library that includes frequent mining algorithms. This library contains popular algorithms used to discover frequent items and patterns in datasets. Frequent mining is widely used in various applications to uncover significant insights, such as market basket analysis, network traffic analysis, etc.

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

A python code, implementing the Data Mining algorithm - Apriori.

In this repository, we will explore apriori and eclat algorithms of association rule learning models for market basket optimization.

Course Materials (along with assignments) for Data Analytics I, done as a part for requirement of the course "DA-1" (course-code: CS4.405.M21) @ IIITH. Note: If you are cloning this or taking help of this repo, try to star the repo.

Data Mining show frequently bought related Item - For forecasting shelf item to continue retail growth

GitHub repository showcasing Machine Learning code: KNN, KMeans, Random Forest, Decision Tree, Apriori, Conflict Serializable, Naive Bayes used for skin detection and UCI dataset evaluation to check accuracy. Extensively tested on reliable datasets like breast_cancer and iris, providing valuable insights for ML training and testing.

FP Growth algorithm implemented using python

Identifying best deals (recommended pairs for market optimization deals to optimize profits) using Apriori model which is an Association Rule Learning model.

Machine Learning Algorithms

Point-of-Sale (POS) for Sweet Avenue Coffe • Bakeshop

To demonstrate the use of market basket analysis to identify valuable and significant associations between items by using lists of groceries transactions

An ecommerce website for trading used vehicle safely with stolen vehicles database, and view recommended vehicles according to your previous viewed vehicles using Apriori-algorithm. Some additional features like hire a driver etc.

Implementation of Apriori Algorithm in Python

Python Big Data programming tasks for institute

Midterm Project

Association Learning for Market Basket Analysis using Apriori and Eclat

Reading and cleaning data, Data Visualization, Apriori algo. Kaggle Solution, the Bread Basket Dataset.

Implementation of PCY and Apriori algorithm