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

NextFlix is a movie recommendation system that uses Apriori association rule mining to suggest movies and analyze relationships using support, confidence, and lift.

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.

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

Implementation of Apriori Algorithm in Python

Python Big Data programming tasks for institute

Midterm Project

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

Implementation of PCY and Apriori algorithm

Association Learning for Market Basket Analysis using Apriori and Eclat

This repository contains my data mining laboratory works from the 4th course of Computer Science in KhNU by the name of V. N. Karazin.

An Apache Spark implementation of the Apriori algorithm to calculate the frequent item sets and association rules.

This project explores factors affecting child stunting and influence of contraceptive awareness in women on other health indicators using NFHS-4 (National Family Health Survey - 4, India) data.

SARS-COV-2 genome analysis using Big Data algorithms in order to find clusters of similar mutations that belongs to different clades which mutate together and generate the correspondent clade.

Tanaman Harmoni

Data Mining Algorithms

Association rule using Apriori algorithm

IBDA3122 Knowledge Discovery UTS. Applying Knowledge Discovery on (1) Northwind dataset/database. (2) Online Retail dataset using Market Basket Analysis (Apriori Algorithm). Using pandasql & mlxtend library with visualization.

Python project on apriori-algorithm with data from