This repository contains a subset of my various data science side projects.

• vehicles_co2: predicting CO2 ouput based on engine displacement and gas mileage using a Kernel Ridge Regression algorithm from mply.
• wine_quality: predicting the quality of wine from physiochemical properties using a Back Propagating Neural Network from PyBrain.
• ML_linear_reg: implementation of gradient descent in python. Compares the solution to that of sklearn.
• mcpi.py: estimation of pi via Monte Carlo.
• loan_default: probability that a person will default on a loan given their debt, income, and demographics. Uses logistic regression to predict default likelihood.
• random_word_cloud: makes a word cloud from the content of any website(s).