1. From Kaggle: Emergency 911 Calls-Data Project

    https://www.kaggle.com/mchirico/montcoalert
   

2. Financial Crisis Data Project: Focused on exploratory data analysis of stock prices. Focusing on bank stocks and see how they progressed throughout the financial crisis all the way to 2016. I used pandas to directly read data from Google finance.

3. Decision Tree and Random Forest Project: Publicly available data from LendingClub.com, I will be using lending data from 2007-2010 and trying to classify and predict whether or not the borrower paid back their loan in full.

4. K-Means Clustering: For this project, I attempted to use KMeans Clustering to cluster Universities into to two groups, Private and Public.

5. Natural Language Processing: I build a spam detection filter by conducting exploratory data analysis and I did text pre-processing, vectorization,TF-IDF, training the model, and created pipeline.

6. Yelp Review Data Set from Kaggle: https://www.kaggle.com/c/yelp-recsys-2013 In this NLP project I attempted to classify Yelp Reviews into 1 star or 5 star categories based off the text content in the reviews.