data-mining-covid19

Project in course "Data Mining and Learning Algorithms"

The file "data.csv" contains data on the daily evolution of the disease COVID19 in 104 countries from January 2020 to February 2021. Some information about each country's population and health care system is also included.

• Programming Languages: Python 3.11
• Libraries: Pandas, Seaborn, Numpy, Matplotlib, Spicy, Yellowbrick, Tensorflow, Sklearn, Keras, Geopandas

question1.py

A standard analysis of the given data, statistics and plots.

question2.py

Clustering of countries based on their success in dealing with the virus, clustering analysis.

question3.py

Train RNN and SVM models with 2020 data of Greece to predict positivity rate in the country for 3 days later.