This repository contains all the information relating to my group's Final Project for UC Berkeley Course Data 100 - Principles & Techniques of Data Science for the Spring 2020 Semester.
We used multiple datasets to create 2 Linear Regression Models and 1 Classification model for answering different questions. & The first two linear regression models answer questions about how the deaths are spreading in different states and counties. The & classification model categorizes different countries in different risk category levels - Community Transmssion (High Risk), Clusters of& Cases (Medium Risk) and Sporadic Cases (Low Risk).
I worked on this project with my friends Anuja Lohia and Rohit Deshpande, who are both UC Berkeley Computer Science students.