This repo contains assignment codes and analysis for the Introduction to Data Science Lecture at NYU Center for Data Science. Below are the descriptions of code included in the repo.

Churn: Predicting customer churn for a telecom company using decision tree classifier.

Higgs_Boson: In this assignment we look at data generated by particle physicists to test whether machine learning can help classify whether certain particle decay experiments identify the presence of a Higgs Boson. (Originally a Kaggle Competition: https://www.kaggle.com/c/higgs-boson)

Mandelbrot: A function for plotting the Mandelbrot Fractal using Mandelbrot Iteration.