data-science-lab-amsterdam/skippa
SciKIt-learn Pipeline in PAndas
Building a machine learning model often involves many data preparation steps. This tool helps you organize those steps for your pandas DataFrames so your data goes in as raw numbers and text, and comes out ready for modeling or predictions. It's for data scientists and analysts who use Python and pandas to develop predictive models.
No commits in the last 6 months. Available on PyPI.
Use this if you need a clear, step-by-step way to clean, transform, and prepare your tabular data in pandas before feeding it into a scikit-learn machine learning model.
Not ideal if you are working with unstructured data like images or audio, or if you prefer to build your data pipelines without pandas DataFrames.
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Language
Python
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Last pushed
Aug 18, 2023
Commits (30d)
0
Dependencies
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