Book Content
chapters • 11h28m total length
1. What Is DataRobot and Why You Need It
2. Machine Learning Basics
3. Understanding and Defining Business Problems
4. Preparing Data for DataRobot
5. Exploratory Data Analysis with DataRobot
6. Model Building with DataRobot
7. Model Understanding and Explainability
8. Model Scoring and Deployment
9. Forecasting and Time Series Modeling
10. Recommender Systems
11. Working with Geospatial Data, NLP, and Image Processing
12. DataRobot Python API
13. Model Governance and MLOps
14. Conclusion
