TPOT for Automated Machine Learning in Python
Automated Machine Learning (AutoML) refers to techniques for automatically discovering well-performing models for predictive modeling tasks with very little user involvement.
TPOT is an open-source library for performing AutoML in Python. It makes use of the popular Scikit-Learn machine learning library for data transforms and machine learning algorithms and uses a Genetic Programming stochastic global search procedure to efficiently discover a top-performing model pipeline for a given dataset.
In this tutorial, you will discover how to use TPOT for AutoML with Scikit-Learn machine learning algorithms in Python.
After completing this tutorial, you will know:
- TPOT is an open-source library for AutoML with scikit-learn data preparation and machine learning models.
- How to use TPOT to automatically discover top-performing models for classification tasks.
- How to use TPOT to automatically discover top-performing models for regression tasks.
Let’s get started.
TPOT for Automated Machine Learning in Python
Photo by Gwen, some rights reserved.
Tutorial Overview
This tutorial is divided into four parts; they are:
- TPOT for Automated Machine Learning
- Install and Use TPOT