Project overview

The goal of the project was to start in Python with feature engineering. The project had to predict the cases of covid-19 in Guatemala by May 30.

Value of the research

For how the data behaved visually, it was recommended to use a polynomial regression but that was the challenge to see that many times we need a better fit to the data. A log transformation was applied that gave us a better fit to the data. Still we had to limit ourselves to a simple linear regression. These generated the bias - variance trade off

Data and Methods

• Data filtering
• Log Transfomation

Professors

• Ing. Luis Leal

Project Code

GitHub repo