Overview

Analysis of a COVID-19 dataset, applying Bayes theorem to estimate probabilities and KNN algorithm to build a machine learning model to make predictions on the data. The project involved data cleansing, descriptive and regression analysis, PCA, feature selection, model training, prediction, and model evaluation using a confusion matrix.