Machine Learning Automation with TPOT
If you are a developer looking to build machine learning models without spending months and years learning machine learning prerequisites, look no further than AutoML. This practical and concise guide will show you how to build automated models for regression and classification, both with traditional algorithms and neural networks.
Offered by
Difficulty Level
Intermediate
Completion Time
9h
Language
English
About Book
Who Is This Book For?
Data scientists, data analysts, and software developers who are new to machine learning and want to use it in their applications will find this book useful. This book is also for business users looking to automate business tasks with machine learning. Working knowledge of the Python programming language and beginner-level understanding of machine learning are necessary to get started.
Machine Learning Automation with TPOT
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 9h total length
Machine Learning and the Idea of Automation
Deep dive into TPOT
Exploring Regression with TPOT
Exploring Classification with TPOT
Parallel training with TPOT and Dask
Getting Started with Deep Learning: Crash Course in Neural Networks
Neural Network Classifier with TPOT
TPOT Model Deployment
Using the Deployed TPOT Model in Production
Related Resources
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