Logistic Regression from Scratch with Only Python Code

In this article, we will build a logistic regression model for classifying whether a patient has diabetes or not. The main focus here is that we will only use python to build functions for reading the file, normalizing data, optimizing parameters, and more. So you will be getting in-depth knowledge of how everything from reading the file to make predictions works. If you are new to machine learning, or not familiar with logistic regression or gradient descent, don't worry I'll try my best to explain these in layman's terms. There are more tutorials out there that explain the same concepts.