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Machine Learning with scikit-learn

72 pointsby derpapstover 11 years ago

4 comments

ColinWrightover 11 years ago
I cannot tell you how much I hate these drip-feed presentations. There isn&#x27;t even an indication of how long it goes for. The early stuff is obvious (for me) - how many times do I have to click to get to the interesting bits?<p>There might be some great stuff here, but many of your potential audience will never find out, because they&#x27;ll give up.
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blauwbilgorgelover 11 years ago
Andreas Mueller is one of the core devs of scikit learn.<p>He is active on Kaggle.com too.<p>For more practical ML projects see: <a href="https://github.com/amueller" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;amueller</a>
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sjtgrahamover 11 years ago
I know what I&#x27;m doing tonight. Great idea including sample data to play with in the library! Is that the MNIST data set?
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tucsonover 11 years ago
I&#x27;d like to know more about slide 6:<p><a href="http://amueller.github.io/sklearn_tutorial/#/6" rel="nofollow">http:&#x2F;&#x2F;amueller.github.io&#x2F;sklearn_tutorial&#x2F;#&#x2F;6</a><p>Why the [Classification][100K sample?] checkpoint?<p>And more info in general about this whole cheat-sheet.
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