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