Immersive data science program involving R, Python, GitHub, statistical analysis, visualization and hands-on machine learning projects. Projects included:
* LendingClub Credit Risk Modeling: Successfully created a credit risk model using multiple classification techniques and achieved an accuracy score over 80%
* House prices prediction (Kaggle Competition): Implemented multiple regression techniques to predict house prices in Ames, Iowa. Scored top 10% in the competition
* Web scraping (Python): Scraped TripAdvisor and New York Data using Python's Scrapy to analyze NYC's tourism business with reviews and tourism data
