https://github.com/haroldeustaquio/data-mining-unam

This repository showcases projects from the Data Mining course at UNAM, Mexico. It includes analyses of customer behavior, sales transactions, and a sequence-to-sequence model for text generation based on the Harry Potter series, all developed and presented throughout the semester.

apriori-algorithm arima-model association-algorithm association-rules classification clustering decision-tree-classifier fp-growth-algorithm logistic-regression machine-learning mineria-de-datos neural-network regression-models rnn seq-to-seq seq2seq triple-exponential-smoothing unam

Last synced: 12 Sep 2025

https://github.com/madhurimarawat/intelligent-data-analysis

This repository contains data analysis programs in the Python programming language.

apriori-algorithm association-rule-mining birch-clustering comparation data-analysis data-pre dbscan-clustering description-of-code fp-growth-algorithm handling-missing-value histogram id3-algorithm j48-classifier k-means-clustering naive-bayes-classifier neural-network principal-component-analysis python students-acedemic-dataset visualization

Last synced: 02 May 2026

https://github.com/yuankai619/fp-gorwth-python-implementation

Implementation a FP growth algorithm with Python

fp-growth-algorithm python

Last synced: 16 Jul 2025

https://github.com/ehsan-behzadi/healthcare_insights_association_rule_mining_for_stroke_risk_factors

apriori-algorithm association-rule-mining bivariate-analysis dbscan feature-discretization fp-growth-algorithm one-hot-encoding pairplot stroke univariate-analysis

Last synced: 31 Jan 2026

https://github.com/atharvapathak/market_basket_analysis

This project implements Market Basket Analysis (MBA), using data mining techniques to uncover relationships between products purchased together. By analyzing transaction data, we aim to provide actionable insights to optimize marketing strategies and enhance customer experience.

apriori-algorithm fp-growth-algorithm matplotlib python sql statistical-analysis

Last synced: 11 Apr 2026

https://github.com/sayande01/unsupervised_learning_ml

This project merges unsupervised learning with Association Rule Learning to analyze retail market basket data. By applying K-Means, DBSCAN, Apriori, Eclat, and FP-Growth algorithms, it uncovers purchasing patterns and segments customers into clusters, aiming to optimize product placement, promotions, and product development.

apriori-algorithm dbscan fp-growth-algorithm k-means-clustering

Last synced: 06 Apr 2025

https://github.com/precioux/data-mining

Data Mining Course - Fall 2024

anomaly-detection apriori-algorithm classisfication clustering data-science data-visualization datacleaning feature-engineering fp-growth-algorithm frequent-pattern-mining machine-learning-algorithms outlier-detection pca

Last synced: 28 May 2026