A complete implementation of Logistic Regression from scratch with Python & Numpy + Applying the model on the dataset by PClub + Testing of the implementation on a test dataset made from make_dataset function of sklearn.datasets with 96.6% accuracy!
Also shown is the cost/loss function decreasing with the number of iterations through gradient descent.