This repo contains my work in completing Udacity's Machine Learning Engineering Nanodegree program. The program consisted of 4 guided projects, and ended with an open-ended capstone project for which I built a Airbnb Listing Price Prediction Model using linear regression.
An introductory exploration of linear regression to predict a continuous variable, in this example housing prices.
An exploration of logistic regression for classification tasks, in this example whether a student will pass or needs extra help.
Comparison of PCA (principal component analysis) vs ICA (independent component analysis) for segmenting a distributor's customers into distinct types.
Training a car to follow the rules of the gridworld road using reinforcement learning. Check out smartcab/agent.py
for my implementation!
An exploration of how regression models with different regularizations (lasso, elasticnet, and ridge) compare in the values of the parameters they learn. Check out the pdf of my write-up! My favorite visualization from the project:
Feel free to contact with any questions.