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.
tobiasodion/AI-ML-COVID19
Project involved the analysis of a covid-19 dataset, applying bayes theorem to estimate probabilities and using KNN ML algorithm to train a model and make predictions based on the data
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