README.md

3.1 Data preparation: ETL and feature engineering

Ingestion

3.1.1 Creating a new project

TODO: describe the context

Video

Opening a text editor:

• Go to the command center (At the top)
• Type "text editor"

3.1.2 Data preparation - Ingestion

TODO: describe the context

Video

Code:

• ingest.py

3.1.3 Utility helper functions

TODO: describe the context

Video

Code

• cleaning.py
• feature_selector.py
• splitters.py

2. Data Preparation

Videos

1. Data preparation block
2. Visualize prepared data

Code

• prepare.py

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3. Build training sets

Videos

1. Encoding functions
2. Training set block

Code

• encoders.py
• build.py

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4. Data validations using built-in testing framework

Videos

1. Writing data validations

Code

• build.py

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Code

1. Complete code solution
2. Pipeline configuration

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Resources

1. Global Data Products

2. Data validations using built-in testing framework

3. Data quality checks with Great Expectations integration

4. Unit tests

5. Feature encoding