This is a collection of problem sets I worked on in the Fall quarter of 2018 as a part of Data Science I - Theoretical foundations for Machine Learning.
- Problem Set 1 - Exploring Data
- Problem Set 2 - Data Wrangling
- Problem Set 3 - Data Analysis
- Problem Set 4 - Statistical Theory
- Problem Set 5 - Learning from Data
- Problem Set 6 - Regression
- Problem Set 7 - Prediction
- Final Exam - Combination and application of all the above concepts