RFM_Cohort_Analysis_Project

Implemented in Python,the project uses Unsupervised learning model to classify the transaction data of customers into clusters based on similarity.The project includes Exploratory Data Analysis,Cohort Analysis to analyze people belonging to different cohorts, RFM Analysis to dig deeper into the purchasing pattern and retention of people ,Association Mining and most importantly clustering of customers using the " K-Means Clustering" algorithm. Libraries such as Pandas,numpy,matplotlib etc were used to handle data and aid the visualizations.