Syed-Muhammad-Hamzah-Ahmed/Machine-Learning-Approach-Inflammation-Severity-Scoring ? reverse-engineered prompt

Build me a simple notebook that takes the inflammation dataset I have here and uses it to predict or score inflammation severity.

I want the notebook to start from the Excel file, clean and prepare the data, then train a few basic machine learning models and compare them so I can see which one works best. Please include clear steps for exploring the data, handling any missing values, splitting the data into train and test sets, and showing the results in an easy way with charts or tables.

Make it practical and easy to follow, since I want to run it in Jupyter and understand what is happening. If you need to check current library docs online, go ahead. At the end, give me a final model and a simple way to use it on new patient data, plus a short explanation of the main findings.