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# Curated Resources on ETL, Machine Learning, and ML Pipelines
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```
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The morale of this repository is the fact that Machine learning involves tasks that include data sourcing, data ingestion, data transformation, pre-processing data for use in training, training a model and hosting the model.
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The morale of this repository is to cover resources for deploying Machine learning
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in production environments, a task that includes data sourcing, data ingestion, data
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transformation, pre-processing data for use in training, training a model, and hosting
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the model.
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```
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Three conceptual steps are how most data pipelines are designed and structured:
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