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## TL;DR
### Article Link
https://towardsdatascience.com/data-transformation-and-feature-engineering-e3c7dfbb4899
### Author
Destin Gong
## Key Takeaways
Why need data transformation?
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The following features have been assigned to each:
- Pierce - Well Data
- Harrison - Geology
- Thomas - 1st 6 of the Frac Design
- Brendan - last 6 of the frac design
Hopefully with the code…
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- Feature Engineering (@AdamAker BARs stuff)
- Feature Selection (via ranked feature importances and Shapely values)
- Intrinsic dimension estimation
- Explore SINDy (time series) style approache…
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**Is your feature request related to a problem? Please describe.**
Prompt engineering can be a bit of a fiddly process. I sometimes find a label error, and then go back to ChatGPT and give it the o…
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When applying Linear Regression or Autoreg to a timeseries it is usually beneficial to create new features based on exogenous variables to extract temporal information, for example lags, moving averag…
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### Is your feature request related to a problem? Please describe.
The current IPL Prediction model in Project-Guidance/Machine Learning and Data Science/Intermediate/IPL Prediction/Regularisation - …
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Machine learning, heart.csv
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| Field | Description |
| ------ | --------------------------------- |
| About | Applying pca and keeping important features only |
| Github…
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### Is there an existing issue for this?
- [X] I have searched the existing issues
### Feature Description
Develop a feature to accurately predict hospital readmission rates using advanced machine …
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A set of requirements and a detailed design is needed before beginning implementation of a Core encryption service.
A PRD (Product Requirements Document) has already been drafted and is awaiting r…
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### Is your feature request related to a problem?
When dealing with numeric data in the db that has domain specific units I would like to be able to do arithmetic, compare operations and conversion.
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