This notebook let's you bootstrap a model for scikit-learn quickly. The main point here is to get started quickly and to be able to iterate from. It's likely that you will need to dive deeper for the best model for each specific use-case.
You can start by uploading a .csv file for classification. Alternatively you may also use a simulated dataset as a demo.
Data source: Default synthetic dataset (sklearn make_classification)
Shape: 1000 rows × 6 columns