Research

Statistical Analysis of the Spread of the COVID-19 Pandemic in Mexico Applying Machine Learning Models

Kernel Ridge model to predict COVID-19 contagion trends in Mexico. Trained on Johns Hopkins CSSE data from the first 50 days of the outbreak to estimate the following 150 days. Implemented in Python with sklearn.