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Learning Scikit-Learn 

Google Cloud Tech
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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.
Fork the kernel shown in the video → bit.ly/2v31tMh
Associated blog post → bit.ly/2v1GJoa
Scikit-learn website → scikit-learn.org
Watch more AI Adventures → bit.ly/AIAdventures
Subscribe to the Google Cloud Platform channel → bit.ly/GCloudPlatform
#AIAdventures

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30 июл 2018

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Комментарии : 27   
@NerdGeekFutureSpeak
@NerdGeekFutureSpeak 6 лет назад
This series is super helpful, thanks guys!
@ByGrasp
@ByGrasp 3 года назад
Thank you Yufeng! Great explanation.
@VOGTLANDOUTDOORS
@VOGTLANDOUTDOORS 3 года назад
YOUR videos are really enjoyable - nicely done!
@rudhisundar
@rudhisundar 5 лет назад
Thank you, Yufeng!
@vinay1150
@vinay1150 4 года назад
Very patiently he explains the scikit learn
@amrdel2730
@amrdel2730 5 лет назад
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 ??
@NickKartha
@NickKartha 6 лет назад
train_test_split is really neat :)
@ahmedhelal920
@ahmedhelal920 3 года назад
Then shift tap and get x_train y_train
@saichandarreddytarugu4997
@saichandarreddytarugu4997 6 лет назад
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.
@davidlee5715
@davidlee5715 4 года назад
I love your channel!
@sike9872
@sike9872 3 года назад
Love his videos
@Jthuma
@Jthuma 2 года назад
Outstanding introduction. Many thanks.
@googlecloudtech
@googlecloudtech 2 года назад
You are welcome!
@wiemamayed7348
@wiemamayed7348 4 года назад
u'r amazing ! thank u !
@mokhahlethabo7430
@mokhahlethabo7430 4 года назад
I had to come back here, just to like the video. Wonderful content.
@saichandarreddytarugu4997
@saichandarreddytarugu4997 6 лет назад
Can I use metrics.accuracy_score to measure the accuracy of dataset. If not then how to measure accuracy.can you help me.
@ThesamBETH
@ThesamBETH 6 лет назад
Yeah you can use accuracy_score function
@saichandarreddytarugu4997
@saichandarreddytarugu4997 6 лет назад
Thank you sam
@osalamia6909
@osalamia6909 11 месяцев назад
I am here to know how to pronounce scikit-learn. Thank you.
@leoleo9771
@leoleo9771 22 дня назад
Kaano ano kaya neto si Alice Guo?
@abdillahmohamed9585
@abdillahmohamed9585 5 лет назад
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
@5ervanttechintel_github_io979
@5ervanttechintel_github_io979 4 года назад
*I thought Google uses TensorFlow?*
@chawza8402
@chawza8402 4 года назад
I think TensorFlow is for heavy neural nets applications (Like creating your own model) and Scikit is for traditional machine learning calculation.
@jorge1869
@jorge1869 2 года назад
Sckit-learn is for machine learning AND tensorflow is for deep learning.
@FilipeSilva1
@FilipeSilva1 6 лет назад
Your eyebrows are not coherent with your enthusiasm, but good content!
@ming-chunsu2678
@ming-chunsu2678 2 года назад
😀👍
@StEvUgnIn
@StEvUgnIn 2 года назад
Wow Scikit-Learn is really basic in short :( I encourage you to look into Pytorch, MXNet, Tensorflow or ML .NET
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