savarin/pyconuk-introtutorial
practical introduction to Python for machine learning, with pandas and scikit-learn - Sept 2014
This tutorial helps aspiring data analysts and machine learning practitioners learn how to approach a real-world predictive modeling problem. You'll take raw, tabular data, clean it, and use it to build models that can make predictions. This is for anyone looking to understand the practical steps of a machine learning workflow using Python.
280 stars. No commits in the last 6 months.
Use this if you are new to machine learning and want a practical, guided introduction to predictive modeling with real data.
Not ideal if you already have experience with data cleaning, feature engineering, and model training in Python.
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Jupyter Notebook
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Sep 22, 2021
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