Learning Scikit-Learn (AI Adventures)


10 Comments

  1. SaiChandar Reddy Tarugu

    July 31, 2018 at 11:41 pm

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

  2. Nick Kartha

    August 1, 2018 at 3:44 am

    train_test_split is really neat 🙂

  3. Filipe Silva

    August 1, 2018 at 1:31 pm

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

  4. Rachel Harrison

    August 1, 2018 at 8:32 pm

    This series is super helpful, thanks guys!

  5. SaiChandar Reddy Tarugu

    August 7, 2018 at 8:38 am

    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.

  6. Chris Keo

    September 2, 2018 at 7:15 am

    Yufeng you beast! Good stuff!

  7. Amr Del

    January 31, 2019 at 8:58 pm

    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 ??

  8. Rudhisundar Beura

    February 4, 2019 at 2:38 am

    Thank you, Yufeng!

  9. Abdillah Mohamed

    March 19, 2019 at 7:28 am

    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

  10. kotov dot in

    July 24, 2019 at 2:23 pm

    Scikit site is cool. For else, ~ 2:30

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