Auto ML

Description

This is a general term used by applications which try to reduce the data scientist’s workload when creating a machine learning model. Auto ML tools typically perform data cleansing operations and then try out various ML algorithms to see which perform the best.

Projects

3

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Lines Committed vs. Age Chart (click to view)

Projects

Project

Size Score

Trend Score

Byline

auto sklearn

5.25

5.25

Automated Machine Learning with scikit-learn

h2o-3

7.0

6.0

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

PyCaret

7.25

6.75

An open-source, low-code machine learning library in Python.