The samples provided here are divided into two categories: basic and more advanced, real-world. The following samples are available
| Category | Sample | Code |
|---|---|---|
| Basic | Use a regression to predict wine quality with RevoscalePy | Code |
| Basic | Use a regression to predict wine quality with microsoftml | Code |
| Basic | Doing feature selection using mutual information | Code |
| Basic | Implementing binary classification | Code |
| Basic | Implementing multi-class classification | Code |
| Basic | Working with categorical features | Code |
| Basic | Using formulas | Code |
| Basic | Using a loss function | Code |
| Basic | Working with input schemas | Code |
| Basic | Classifying images using image featurization | Code |
| Basic | Finding similar images using image featurization | Code |
| Advanced | Tuning model hyperparameters using a grid search | Code |
| Advanced | Implementing sentiment analysis | Code |
| Advanced | Implementing text featurization | Code |