In this analysis, I try to cluster credit card users into several segments based on their usage behavior using K-Means and also PCA Biplot to detect outliers and see the contribution of each variables.

In this experiment, I try to uncover the pattern in house appliances' energy consumptions, and use it to predict energy consumption in the future.

This analysis is about using Logistic Regression and K-NN to predict the likelihood of a liability bank customer buying personal loans.

This analysis is about finding the best model to calculate the MPG of a vehicle based on its predictors.

To get funded on Kickstarter, there are few things that we have to pay attention to. The things are categories, goals, and deadlines.

A simple analysis of a Kickstarter dataset, downloaded from Kaggle using base R.