Inefficiencies in artificially-lifted oil wells reduces production, increases wear and tear and increases cost. These can be remedied by continuous near real-time analysis of downhole dynocard by a trained model for rapid response and performance optimization.

Customer is king. Knowing your customers will help you serve them better. But how do you go about knowing them? This project attempts to answer that question by analyzing a mall's customer data to create actionable personas by clustering.

Penguins! I believe that's what most people would say when they first see a penguin on their first cruise to Antractica. Not that many people would have the chance to cruise to Antarctica, but I bet most have seen one on TV or in the zoo. Do you know there are a lot of penguins? Well, this project shows you how you can use classification techniques such as Naive-Bayes, decision tree and random forest to classify penguins.

Heart disease is a major health concern for . With more and more sedentary lifestyle. However, detecting heart disease is not simple. A lot of research had been carried out to make detection of heart disease more accurate, reliable and cost-effective. In this project, we'll see how we can contribute, and maybe even make some recommendations.

Covid 19 wrecked the economy. How much of an impact does it do to drug crimes? In this project, we analyze past drug crimes data in Chicago and try to predict drug crimes - if COVID did not happen

This project analyzes different formula of concrete, fitting the model with linear and polynomial regression, to uncover a better formula for stronger concrete.

Applying for graduate school can be a challenge. There are a lot factors to consider. If you can predict your chance of admission to a university before applying, wouldn't it save the hassle? This publication shows a way to get a model to answer that.