Book Content
chapters • 9h24m total length
1. Introduction to AutoML
2. Introduction to Machine Learning Using Python
3. Data Preprocessing
4. Automated Algorithm Selection
5. Hyperparameter Optimization
6. Creating AutoML pipelines
7. Dive into Deep Learning
8. Critical Aspects of ML and Data Science Projects
