Examples
- Binary Classification: California Housing Dataset
- Full Monitoring Workflow - Regression: NYC Green Taxi Dataset
- Import libraries
- Load the data
- Preprocessing the data
- Exploring the training data
- Training a model
- Evaluating the model
- Deploying the model
- Analysing ML model performance in production
- Estimating the model’s performance
- Detecting multivariate data drift
- Detecting univariate data drift
- Bonus: Comparing realized and estimated performance
- Conclusion