Learning Scikit-Learn

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Scikit-learn is a well-documented and well-loved Python machine learning library. The library is maintained and reliable, offering a vast collection of machine learning algorithms for you to incorporate into your projects. If you haven't tried scikit-learn, you definitely should!

In this episode if AI Adventures, Yufeng gives an overview of scikit-learn and shows an example of scikit-learn in a kaggle kernel.

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This series is super helpful, thanks guys!

NerdGeekFutureSpeak
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Outstanding introduction. Many thanks.

Jthuma
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YOUR videos are really enjoyable - nicely done!

VOGTLANDOUTDOORS
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Very patiently he explains the scikit learn

vinay
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I am here to know how to pronounce scikit-learn. Thank you.

osalamia
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I had to come back here, just to like the video. Wonderful content.

mokhahlethabo
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can we use an adaboost classifier with SVM as its weak learner with this scikit learn because we read some papers argumenting of the efficiency of adaboost with svm weaklearners better than the adaboost with decision stumps or others ??

amrdel
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How to choose k value in knn.
Will it be based on the accuracy or square root of size of test data.
Can anyone help me.

saichandarreddytarugu
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Can I use metrics.accuracy_score to measure the accuracy of dataset.
If not then how to measure accuracy.can you help me.

saichandarreddytarugu
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Your eyebrows are not coherent with your enthusiasm, but good content!

FilipeSilva
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I am new in machine learning and now I am facing an issue. I have 7 projects I would like to predict whether a pull request would be rejected or not (Yes or No). And I would like to build a prediction model by using data from 6 projects as source project and predict the rejection of the pull request in the seventh project as a target project. Can you please tell me how can I structure my algorithm in Scikit-learn? Hope that my question is clear.
Thanks

abdillahmohamed
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Wow Scikit-Learn is really basic in short :( I encourage you to look into Pytorch, MXNet, Tensorflow or ML .NET

StEvUgnIn