Supervised Machine Learning

<p>AI framework intended to solve a problem of bias-variance tradeoff for supervised learning methods in real-life applications. It comprises of bootstrapping to create multiple training and testing data sets design and analysis of statistical experiments and optimal hyper-parameters for ML methods.</p>