tensorflow-for-deep-learnin.../README.md
2020-03-30 19:23:34 -07:00

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# Curated Machine Learning and Data Engineering
![License: WTFPL](https://img.shields.io/badge/License-WTFPL-brightgreen.svg) [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/bt3gl/Awesome_Entrepreneur) [![Maintenance](https://img.shields.io/badge/Maintained%3F-yes-green.svg)](https://GitHub.com/Naereen/StrapDown.js/graphs/commit-activity)
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In this repository we cover resources for deploying Machine learning
in production environments, a task that includes data sourcing, data ingestion, data
transformation, pre-processing data for use in training, training a model, and hosting
the model.
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* [Machine Learning resources](https://github.com/bt3gl/Curated_ETL_and_ML_Pipelines/tree/master/machine_learning_examples).
* [Data Engineering resources](https://github.com/bt3gl/Curated_ETL_and_ML_Pipelines/blob/master/data_engineering.md).
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