Book Content
chapters • 9h total length
1. Machine Learning and the Idea of Automation
2. Deep dive into TPOT
3. Exploring Regression with TPOT
4. Exploring Classification with TPOT
5. Parallel training with TPOT and Dask
6. Getting Started with Deep Learning: Crash Course in Neural Networks
7. Neural Network Classifier with TPOT
8. TPOT Model Deployment
9. Using the Deployed TPOT Model in Production














