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* [How to Code Neat Machine Learning Pipelines](https://www.neuraxio.com/en/blog/neuraxle/2019/10/26/neat-machine-learning-pipelines.html).
### Courses
* [Coursera's Big Data Pipeline course](https://www.coursera.org/lecture/big-data-integration-processing/big-data-processing-pipelines-c4Wyd).
### Tools
* [Airflow resources](https://github.com/bt3gl/Curated_ETL-and-ML-Pipelines/blob/master/airflow.md).
* [Data science resources](https://github.com/davidyakobovitch/data_science_resources).
* [AWS Data pipeline samples](https://github.com/aws-samples/data-pipeline-samples/tree/master/samples).
* [Lorte data pipelining](https://github.com/instacart/lore).
### Videos
* [Industrial Machine Learning Talk](https://www.youtube.com/watch?v=3JYDT8lap5U).
### Enterprise Solutions