Exploring a model's accuracy | Even More Python for Beginners- Data Tools [25 of 31]

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As nice as it might be to see a couple of numbers to describe the accuracy of a model, it doesn't always tell the full story. Depending on the values we're looking to predict, we may need to understand a little bit more about a model's weaknesses. Fortunately, scikit-learn offers ways to dig into where things aren't behaving quite as well as we might expect, so we can get further insights into what predicted values might mean. Watch the Python for Beginner series here: https://aka.ms/PythonBeginnerSeries For the Full 'Intro to Python' course on Microsoft Learn: https://aka.ms/MSLearnPython All video content will available at: https://github.com/microsoft/c9-python-getting-started/ First series: https://github.com/microsoft/c9-python-getting-started/tree/master/python-for-beginners Second series: https://github.com/microsoft/c9-python-getting-started/tree/master/more-python-for-beginners Third series: https://github.com/microsoft/c9-python-getting-started/tree/master/even-more-python-for-beginners-data-tools #microsoftdeveloper #evenmorepythonforbeginners #learntocode

Published 2020-04-30 · Watch on YouTube ↗
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