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What you learn in Naïve Bayes Algorithm in Hindi ?

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Naïve Bayes

About this Free Certificate Course

A Naïve Bayes classifier is an algorithm that uses Bayes' theorem to classify objects. Naïve Bayes classifiers assume strong or naive independence between attributes of data points. Popular applications of Naïve Bayes classifiers include spam filters, text analysis and medical diagnosis. These classifiers are widely used for machine learning as they are simple to implement. This theorem is the foundation of deductive reasoning, which focuses on determining the probability of an event occurring based on prior knowledge of conditions that might be related to that event. In this course, we understand the concept of Naïve Bayes and implement the algorithm in Python.

Course Outline

Introduction to Naïve Bayes
Naïve Bayes Hands-on

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Naïve Bayes Algorithm in Hindi

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Great Learning Academy provides this Naive Bayes Algorithm in Hindi course for free online. The course is self-paced and helps you understand various topics that fall under the subject with solved problems and demonstrated examples. The course is carefully designed, keeping in mind to cater to both beginners and professionals, and is delivered by subject experts. Great Learning is a global ed-tech platform dedicated to developing competent professionals. Great Learning Academy is an initiative by Great Learning that offers in-demand free online courses to help people advance in their jobs. More than 5 million learners from 140 countries have benefited from Great Learning Academy's free online courses with certificates. It is a one-stop place for all of a learner's goals.

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