RF-COVID-19-Countries

Project that uses Random Forest Classifier to forecast the number of COVID-19 infections and deaths per country

Model 1: (date as an integer)

Covid19_1.py: Week 1 program for predicted number of cases and fatalities

Train01.csv: Week 1 training dataset

Test01.csv: Week 1 testing dataset

Submission01.csv: Week 1 results formatting template

Result01.csv: Week 1 results

Covid19_2.py: Week 2 program for predicted number of cases and fatalities

Train02.csv: Week 2 training dataset

Test02.csv: Week 2 testing dataset

Submission02.csv: Week 2 results formatting template

Result02.csv: Week 2 results

Covid19_3.py: Week 3 program for predicted number of cases and fatalities

Train03.csv: Week 3 training dataset

Test03.csv: Week 3 testing dataset

Submission03.csv: Week 3 results formatting template

Result03.csv: Week 3 results

Model 2: (days from initial start date)

Covid19_week1.py: Week 1 program for predicted number of cases and fatalities

Train1.csv: Week 1 training dataset

Test1.csv: Week 1 testing dataset

Submission01.csv: Week 1 results formatting template

Result1.csv: Week 1 results

Covid19_week2.py: Week 2 program for predicted number of cases and fatalities

Train2.csv: Week 2 training dataset

Test2.csv: Week 2 testing dataset

Submission02.csv: Week 2 results formatting template

Result2.csv: Week 2 results

Covid19_week3.py: Week 3 program for predicted number of cases and fatalities

Train3.csv: Week 3 training dataset

Test3.csv: Week 3 testing dataset

Submission03.csv: Week 3 results formatting template

Result3.csv: Week 3 results