Big Data Analytics - Applied Data Science

1. Able to implement standard regression and classification methods, as well as to understand concepts including, overfitting, underfitting, bias, optimization, regularisation and parameter tuning. 2. Able to dissect the mathematics behind standard machine learning models, train, validate and test models and evaluate said models for accuracy.

Not specfied