secjedi / datamining

This project segments customers in groups based on what they eat using cluster analysis on a given transaction data. The dataset provided consists of a market basket dataset as well as a dataset containing recipes and their corresponding ingredients. Two mining algorithms were used here; cosine similarity algorithm module from the scikit-learn library as well as the apriori algorithm to cluster customers into various groups upon careful experimentation and analysis. A well documented report on this process is found here

DataMining

This project segments customers in groups based on what they eat using cluster analysis on a given transaction data. The dataset provided consists of a market basket dataset as well as a dataset containing recipes and their corresponding ingredients. Two mining algorithms were used here; cosine similarity algorithm module from the scikit-learn library as well as the apriori algorithm to cluster customers into various groups upon careful experimentation and analysis. A well documented report on this process is found in the 'docs' folder