Resources coming soon!
If you are a prospective employer / recruiter and want to look through my code for the homeworks / projects, please contact me directly at lbhattacharjee@berkeley.edu.
Relevant Assignments¶
- HW 4: SQL, FEC Data, and Small Donors -- used a group of Postgre SQL servers to explore the money exchanged during the 2016 election using the Federal Election Commission's public records
- HW 5: Modeling, Estimation and Gradient Descent -- reasoned about a model, intuitively explored loss functions and their behavior, derived the gradient of a loss with respect to model parameters, worked through a basic form of gradient descent
- HW 6: Predicting Housing Prices -- developed and regularized a linear model to predict house prices from assessed values for individual residential properties sold in Ames, Iowa from 2006 to 2010 [on Kaggle]
- Project 1: Trump, Twitter, and Text -- worked with the Twitter API in order to analyze Donald Trump's tweets
- Project 2: Spam // Ham Prediction -- created a classifier that can distinguish spam (junk or commercial or bulk) emails from ham (non-spam) emails