AutoML with Auto-Sklearn ❌ Automated Machine Learning with Auto-Sklearn

In this video we'll use Auto-sklearn to find the best machine learning model for a classification task.

We'll compare the results to a baseline Logistic Regression model and see whether Automated Machine Learning is useful in a practical project.

Automated Machine Learning (AutoML) is the process of automating the discovery of the best machine learning algorithms and hyperparameters in order to solve predictive modeling tasks with very little to no user involvement.

Auto-sklearn is an open-source library for performing AutoML in Python and it uses the Scikit-Learn Python package for transformations and machine learning algorithms as well as a Bayesian Optimization search procedure. This is used to discover the top-performing model pipeline for a given dataset.

Project page:
https://automl.github.io/auto-sklearn/

You can access the Jupyter notebook here (login required):
https://www.decisionforest.com/downloads/33

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Видео AutoML with Auto-Sklearn ❌ Automated Machine Learning with Auto-Sklearn канала DecisionForest