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Opened May 03, 2022 by Srishti@Srishti 
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Crash Course on Naive Bayes Classification

This is from a webinar on Naive Bayes. Naive Bayes is a technique from machine learning, useful for making classifications. Naive Bayes has all sorts of applications ranging from facial recognition to weather prediction to medical diagnoses to news classifications among others. In this webinar, we provide an introduction to Naive Bayes methods through theory and coding examples. By the end of the webinar, students should acquire a strong understanding of this technique.

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Check out, review, and merge locally

Step 1. Fetch and check out the branch for this merge request

git fetch https://code.datasciencedojo.com/Srishti/tutorials.git patch-1
git checkout -b Srishti/tutorials-patch-1 FETCH_HEAD

Step 2. Review the changes locally

Step 3. Merge the branch and fix any conflicts that come up

git checkout master
git merge --no-ff Srishti/tutorials-patch-1

Step 4. Push the result of the merge to GitLab

git push origin master

Note that pushing to GitLab requires write access to this repository.

Tip: You can also checkout merge requests locally by following these guidelines.

  • Discussion 1
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  • Srishti @Srishti

    merged

    May 03, 2022

    merged

    merged
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  • Srishti @Srishti

    mentioned in commit a727bd9c

    May 03, 2022

    mentioned in commit a727bd9c

    mentioned in commit a727bd9c4f1e67970b9ff01bb80340192480a366
    Toggle commit list
  • Charles @charleslouis879 commented Nov 26, 2024

    "This is from a webinar on Naive Bayes. Naive Bayes is a technique from machine learning, useful for making classifications. Naive Bayes has all sorts of applications ranging from facial recognition to weather prediction to medical diagnoses to news classifications among others. In this webinar, we provide an introduction to Naive Bayes methods through theory and coding examples. By the end of the webinar, students should acquire a strong understanding of this technique. After a long day of coding and learning, it might also help to unwind with a 출장마사지 to refresh your mind and body!"

    "This is from a webinar on Naive Bayes. Naive Bayes is a technique from machine learning, useful for making classifications. Naive Bayes has all sorts of applications ranging from facial recognition to weather prediction to medical diagnoses to news classifications among others. In this webinar, we provide an introduction to Naive Bayes methods through theory and coding examples. By the end of the webinar, students should acquire a strong understanding of this technique. After a long day of coding and learning, it might also help to unwind with a [출장마사지](https://msggo.co.kr/) to refresh your mind and body!"
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Reference: datasciencedojo/tutorials!3
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