[IDEA] Introduction about AutoML
- Lenguaje dominante
- Jupyter Notebook
- Estrellas
- 30k
- Forks
- 13.1k
- Métricas de merge de PR
- Sin PR fusionados en 30 d
Descripción
- AutoML provides tools to automatically discover good machine learning model pipelines for a dataset with very little user intervention.
- It is ideal for domain experts new to machine learning or machine learning practitioners looking to get good results quickly for a predictive modeling task.
Since this book serves as a bible for many ML practitioners, I felt it is necessary to include AutoML in one of the chapters. Since this book gives machine learning implementations with Scikit-learn it can easily extend to introduce Scikit-learn related AutoML libraries like Hyperopt-Sklearn, Auto-Sklearn, and TPOT. I am sure it will be definitely valuable for learners.
I love reading this book its just a small suggestion from me :)
Guía de contribución
No hay ninguna guía de contribución indexada para este repositorio
Evaluación
Este issue todavía no se ha evaluado.