This project investigates the likelihood of survival on titanic by employing machine learning tools to predict which passengers survived the tragedy.

In this regression modeling problem, we will investigate the Boston House Price dataset and try to predict the median value of owner occupied homes.

In this exercise, our challenge will be to classify tweets as being negative, positive, or neither.

In this natural language processing problem, we will create a word cloud from live Twitter data.

This project investigates the species of flowers in the Iris dataset.

The purpose of this project is to perform data visualization to explore the relationship between Corruption and Human Development across various nations based on UN Human Development Report.

The purpose of this exercise is to build a linear regression model that will predict final test scores for students.