Analysis of UCI Machine Learning Repository Dataset. Accurately Classifying the text of four authors: Aaron Pressman, Jane Macartney, Sarah Davison, and Willian Kazer using Naive Bayes Classification.

The analysis of UCI Machine Learning Spambase Dataset which is a mixture of legitimate and spam emails. The goal is to accurately classify the emails using KNN Algorithms.

This database tracks characteristics of major storms and weather events in the United States, including when and where they occur, as well as estimates of any fatalities, injuries, and property damage.