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Comparison between several Python data profile libraries.
This repository contains python scripts to conduct exploratory visual analysis and various advanced analytical approaches to test hypotheses..
A collection of various projects.
Perform Principal component analysis and perform clustering using the first 3 principal component scores (both hierarchical and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained the same number of clusters with the original data (class column we have ignored at the beginning who shows it has 3 clusters)