Craziscrazy/ML ? reverse-engineered prompt

Build me a small notebook based machine learning project with two parts.

First, make a rain prediction notebook that uses the weather data in the CSV to predict whether it will rain or not. Keep it simple and clear, use basic preprocessing, train a logistic regression model, and show the results with accuracy and a confusion matrix. Add a few easy charts so I can understand the data and the predictions.

Second, make a knee osteoporosis classification notebook that uses a deep learning approach with Xception to classify images into multiple classes. I want the full flow, loading the data, preparing it, training the model, evaluating it, and showing example predictions. If you need to look up the latest best practices for the model setup, do that.

Please make the notebooks clean, runnable, and easy to follow, with short explanations in the cells so someone new to machine learning can understand what is happening.