firmai/deltapy
DeltaPy - Tabular Data Augmentation (by @firmai)
When working with tabular data for predictive modeling, you often need to create new features or expand your dataset to improve model accuracy. DeltaPy helps you do this by transforming, combining, and generating new data points from your existing tables, especially time-series data. It is primarily used by financial analysts, quantitative researchers, or anyone building predictive models who needs to enrich their datasets.
556 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need to create a wide variety of new features from your existing tabular (spreadsheet-like) or time-series datasets to enhance the performance of your machine learning models.
Not ideal if your primary goal is to collect new raw data, as this tool focuses on augmenting existing datasets rather than data acquisition.
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556
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57
Language
Jupyter Notebook
License
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Last pushed
Sep 19, 2023
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