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Home Programming

Data Science & Machine Learning: Naive Bayes in Python

November 11, 2022
in Programming, Free Course, Tutorials
Data Science & Machine Learning: Naive Bayes in Python

Data Science & Machine Learning: Naive Bayes in Python

Download Data Science & Machine Learning: Naive Bayes in Python in one single click, On our website, you will find free many premium assets like Free Courses, Photoshop Mockups, Lightroom Preset, Photoshop Actions, Brushes & Gradient, Videohive After Effect Templates, Fonts, Luts, Sounds, 3d models, Plugins, and much more. Psdly.com is a free graphics content provider website that helps beginner graphic designers as well as freelancers who can’t afford high-cost courses and other things.

File Name:Data Science & Machine Learning: Naive Bayes in Python
Content Source:https://www.udemy.com/course/data-science-machine-learning-naive-bayes-in-python/
Genre / Category:Programming
File Size :2.1GB
Publisher:udemy
Updated and Published:November 11, 2022
Product Details

In this self-paced course, you will learn how to apply Naive Bayes to many real-world datasets in a wide variety of areas, such as:

  • computer vision
  • natural language processing
  • financial analysis
  • healthcare
  • genomics

Why should you take this course? Naive Bayes is one of the fundamental algorithms in machine learning, data science, and artificial intelligence. No practitioner is complete without mastering it.

This course is designed to be appropriate for all levels of students, whether you are beginner, intermediate, or advanced. You’ll learn both the intuition for how Naive Bayes works and how to apply it effectively while accounting for the unique characteristics of the Naive Bayes algorithm. You’ll learn about when and why to use the different versions of Naive Bayes included in Scikit-Learn, including GaussianNB, BernoulliNB, and MultinomialNB.

In the advanced section of the course, you will learn about how Naive Bayes really works under the hood. You will also learn how to implement several variants of Naive Bayes from scratch, including Gaussian Naive Bayes, Bernoulli Naive Bayes, and Multinomial Naive Bayes. The advanced section will require knowledge of probability, so be prepared!

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DOWNLOAD LINK: Data Science & Machine Learning: Naive Bayes in Python

Data_Science___Machine_Learning_Naive_Bayes_in_Python.part1.rar – 2.0 GB
Data_Science___Machine_Learning_Naive_Bayes_in_Python.part2.rar – 141.8 MB

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