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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

4

Lines Committed vs. Age Chart (click to view)

 Lines Committed vs. Age Chart (click to view)

Projects

Project

Size Score

Trend Score

Byline

auto sklearn

6.0

4.75

Automated Machine Learning with scikit-learn

AutoGluon

3.75

9.5

AutoGluon: AutoML for Image, Text, and Tabular Data

h2o-3

7.5

5.25

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

8.5

8.0

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