Bhavukmittal20/Machine-Learning ? reverse-engineered prompt

Build me a clean, beginner friendly machine learning learning repo that shows the basics of simple linear regression, multiple linear regression, polynomial regression, ridge regularization, logistic regression, k means, and gradient descent in separate notebooks.

I want each topic to be easy to follow, with short explanations, example code, and simple visual output where it helps. Please make the notebooks consistent in style so it feels like one organized learning path, not a bunch of random files. If anything is missing, fill in the gaps with clear examples and notes so someone new to ML can actually understand what each method does and when to use it.

Keep it focused on learning and practice, and look up current docs online if you need to for best examples.