Coding Machine Learning Lecture 2

Hello folks, in this code implementation, we walk through not just writing code, but understanding the outputs we obtain, and validating the results in mathematics of Machine Learning. For instance the equivalence of the results of Negative Log likelihood and Mean squared error for gaussian distribution assumptions, makes us feel the beauty behind theory and practice. We cover L1 and L2 loss curves, The Gaussian Output distribution modelling unce