Kaggle 30 Days of ML (Day 15) - Interpretable Machine Learning Use-cases

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This is the Day 15 of Kaggle's 30 Days of ML Challenge where you can learn Machine Learning (based on Python) in 30 days (Kind of). It's not a competition but a challenge to make a habit of coding ML every day. If you haven't registered for the Kaggle Challenge Don't worry, You can follow along my videos every day. Starting Day 15, We're taking a different turn since Kaggle's challenge is focusing on a live exclusive competition for registered Kagglers and my focus has been the unregistered-yet-interested Machine Learning Enthusiasts.

In this video, We take a quick look at Machine Learning Explainability / Interpretable Machine Learning / Explainable AI and then use-cases (or needs) of Machine Learning Model Insights.

Credit: Kaggle Learn (Dan Becker)

1littlecoder

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Clear, concise and informative. Thank you for the video explanation for the topic.

flotyler

Now onwards you will not make vedios related to kaggle . Like day 15 is competition

tanishaagarwal

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