Introduction to AutoML-The future of industry ML execution

With the advancing technologies in today’s world Machine learning is currently utilized in almost every field imaginable which has pushed its importance infinitely.That is why the need of AutoML is rising in the industry

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What is AutoML?

Why was AutoML Introduced?

A classic Machine learning flow consists of :

Need for AutoML!

How ML experts and Data Scientist work with AutoML

Will AutoML replace Data Scientists?

AutoML Libraries for Python

1. Auto-Sklearn

2. MLBox

3. auto_ml

ml_predictor.train(data, model_names=[‘DeepLearningClassifier’])

4. TPOT

5. OPTUNA

6. PyCaret

AutoDL Libraries for Python

1. talos

2. HyperAS

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