From DSG: Nice example of how data science can be used for a real world classification problem, with real data. Including 1.2 million observations with 6 features. Here using a Random Forest method for classification of retail trip types and comparing it to other methods. Includes all the Python code from a Kaggle competition. Visualization of modeling progress. Nicely done example. via Kirk Borne.
Subscribe to:
Post Comments (Atom)
No comments:
Post a Comment