ML and DL Alogorithms
Contains from scratch:
-> Logistic Regression
-> Support Vector Machine
-> A sigmoid neuron trained on both self generated and a dataset.
-> Multiple classes of Feed Forward Neural Networks.
-> A vectorized backprop utilising FFNN.
-> A vectorized FFNN working with algorithms like vanilla Gradient Descent, Momentum Based Gradient Descent, Nesterov Accelerated Gradient Descent, AdaGrad, RMSProp and Adam.
-> A FFNN built using PyTorch functions slowly increasing the abstraction with multiple classes.