This tutorial has a full implementation https://machinelearningmastery.com/autoencoder-for-regression/
There is also one for classification: https://machinelearningmastery.com/autoencoder-for-classification/
I think this text has important information regarding the representation in the autoencoder, why compression may explain better results in ML models: https://neptune.ai/blog/representation-learning-with-autoencoder
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