a data science blog
Apriori algorithm for finding frequent itemsets and rules
New York crime analysis - R - Data mining course - association rules - density clustering(DBSCAN) - hotspots detection - mapping crimes
This analysis delves into the fascinating world of retail data to unlock valuable insights for businesses. Market Basket Analysis is a powerful technique that allows retailers to understand customer behavior, identify item associations, and offer personalized recommendations.
COVID-19: Behind the Numbers.
Association Rules - market basket analysis using apriori algorithm in R
Most of machine learning algorithms will be available here. (Both in Python and R)
Python based Miniproject implementing KNN and Apriori Algorithm on "Car Evaluation Dataset"
A LIMS(library information management system) which recommends book using apriori algorithm.
Association analysis of news from oblasts according to the news from telegram of the Russia-Ukraine war
A little project for a course on the mathematics of data science. Includes brief review on association rule algorithms.
Projects involving Frequent Itemset Mining and analysis of hierarchical space partitioning techniques
CART, K-Means, Apriori, Adaboost, RFE; models using Anti-cancer peptides vs Human proteins
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