zluvsand/ml_pipeline
⚡ Sample code for machine Learning Pipeline with Scikit-learn ⚡
This project helps data scientists and machine learning engineers streamline the process of preparing data and training models. It takes raw datasets and, through a structured sequence of data transformations and model application, produces a ready-to-use machine learning model. This is ideal for those who build and deploy predictive models.
No commits in the last 6 months.
Use this if you are a data scientist looking for practical examples to build and manage efficient, repeatable data processing and model training workflows.
Not ideal if you are a business user looking for a no-code solution or someone who doesn't work directly with Python code for machine learning.
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Jupyter Notebook
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Last pushed
May 10, 2022
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