Data-Analysis-and-Machine-Learning-Projects

Why we included this project

Randy Olson built this collection to go with his data science blog posts, so each folder pairs a worked example with the notebook and data behind it. Projects stand on their own and walk through an analysis from loading data into a pandas DataFrame through visualization and modeling, which is what learners often miss when they only read snippets. The Where's Waldo path optimization notebook, for example, turns a children's puzzle into a real exercise in evolutionary search. Because the notebooks render in a browser through nbviewer, you can follow along without installing Python locally. That makes it a solid source of practice material for people teaching or learning data analysis on their own who want clean, documented examples to study and adapt.