This repository contains the following list of course work projects that I carried out in the graduate level Data Mining course that I took in Spring 2015, which I enjoyed a lot.
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Exploratory Data Analysis in R with Yelp Data.
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Principal Component Analysis and Feature Transformation in R with Yelp Data.
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Naive Base Classifier in Python.
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K-Means and Spherical K-Means Clustering and Incremental 10 Fold Cross Validation in Python.
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Apriori Algorithm for Association Rule Mining in Python.
In some of the above works, I have fomulated hypothesis and analyzed them with statistical tests, which can be found in the associated reports.