PGD AI Machine Learning with Python Advanced Supervise & Unsupervised Algorithms Session 6 1

This is first of sessions on Advanced ML with python, covers the basics of supervised and unsupervised algorithms. Reviews the linear regression and gradient descent algorithm. Talks about hyper parameters and fitting, overfitting of samples based on features and weigths. Yoiu may want yo review 1/2 hr at a time as this is a bit lomnger session but a must for next few sessions to follow 6 2, 6 3...etc. Recommend voiew this in 3 sittings.