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Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

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Machine Learning Scientist - Studies

This repository contains some of my currently Machine Learning studies.

To increase my essential skills in that topic. All items developed are in the Python language and I will use tools to perform supervised, unsupervised and deep learning (to be used as tutorials in the future).

Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

Future approaches: Natural language processing, image processing and popular libraries, such as Spark and Keras.

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Machine Learning studies. Current approaches: Data processing, model training, evaluation performance and parameter adjustment for better performance.

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