DATA 146 - Introduction to Data Science
Andrew Luchs
Project 0.5
In this project, we manipulated a simple dataset on population data to get a refresher on subsetting in python.
Project 1
In this project we continued work on manipulating data frames, pandas, and did miscellaneous work with APIs, etc.
Project 2
Plots! Logarithms! Packages! All of the above are included in this 4 question project on how to communicate trends in data as best as possible.
Project 3
This project involves 4 questions on linear regression and ridge regression combined with more basic python techniques of slicing, loops, and creating functions.
Midterm Corrections
A tricky midterm, and a chance at redemption - this project has my midterm corrections, including why I got wrong what I got wrong.
Project 5, Part 1
In this project we were set out into the wild to create models on our own with linear, ridge, and lasso regression.
Project 5, Part 2
In this project we take a look at fancy new models, including random forests and kNN.