There are four folders, each folder contains a set of exercises, the expected results are

written at the top of each ipynb. some files are just example solutions

Day 1 all about fitting a linear regression or logistic regression to the data. Also to determine

the decision boundaries.

Day 2 Use Neural Networks to solve simple classification examples

Day 3 Using Convolutional Neural Network with PyTorch with one example solution

Day 4 Deep learning, the solution is ready just we add the testing data and test the built

model and output a submission file with labels