Machine Learning, Data Science, Learning, Resources, University.
you to various essential concepts encountered in ML such as the Type of Learning (supervised vs unsupervised), Cost Functions, Overfitting, Bias- Variance Trade-off, Regularization, Performance Metrics, Hyper-parameter Tuning and Validation Strategy. You should preferably start with an easy