Some AutoML Tools

AutoML is about the implementation of end-to-end machine learning applications to real-world use-case scenarios. Numerous tools exist for automating all these processes thus, enabling people with less expertise in the field to train high-performance models.

AutoML algorithms aren’t as simple as fitting one model on the dataset; they are considering multiple machine learning algorithms (random forests, linear models, SVMs, etc.) in a pipeline with multiple preprocessing steps (missing value imputation, scaling, PCA, feature selection, etc.), the hyperparameters for all of the models and preprocessing steps, as well as multiple ways to ensemble or stack the algorithms within the pipeline.

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