Naive Bayes from Scratch

  • AdvancedLevel

  • 3334+Students Enrolled

  • 30 MinsDuration

  • 4.5Average Rating

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About this Course

  • Learn the fundamentals, working principles, and applications of the Naïve Bayes classifier in machine learning.
  • Explore and analyze data using Naïve Bayes, understand probability-based predictions, and enhance your machine learning skills.
  • Gain practical experience by applying Naïve Bayes to real-world datasets, improving your classification and data analysis expertise.

Learning Outcomes

Master Naïve Bayes

Learn the fundamentals, and applications of Naïve Bayes in ML.

Deep Dive into ML

Explore probability-based predictions and data-driven decision-making.

Naive Bayes Skills

Apply Naïve Bayes on real-world classification dataset.

Who Should Enroll

  • Ideal for those looking to master Naïve Bayes for machine learning and data classification.
  • Perfect for individuals seeking to enhance their classification skills and apply Naïve Bayes in real-world scenarios.
  • Suitable for those starting their ML journey and wanting to learn probability-based classification techniques.

Course Curriculum

Explore a comprehensive curriculum covering Python, machine learning models, deep learning techniques, and AI applications.

tools

  1. 1. Key Terms and Definitions

  2. 2. Introduction to Probability

  3. 3. Quiz: Introduction to probability

  1. 1. The Naive Bayes Algorithm

  2. 2. Introduction to Naive Bayes

  3. 3. Conditional Probability and Bayes Theorem

Meet the instructor

Our instructor and mentors carry years of experience in data industry

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Kunal Jain

Founder & CEO, Analytics Vidhya

Kunal has 15+ years of experience in the field of Data Science and is the founder and CEO of Analytics Vidhya- the world's 2nd largest Data Science community.

Get this Course Now

With this course you’ll get

  • 30 Mins

    Duration

  • Kunal Jain

    Instructor

  • Advanced

    Level

Certificate of completion

Earn a professional certificate upon course completion

  • Globally recognized certificate
  • Verifiable online credential
  • Enhances professional credibility
certificate

Frequently Asked Questions

Looking for answers to other questions?

We have designed this course in a way that’s easy to understand for beginners in machine learning. You will get to learn Naive Bayes from scratch and also implement it using Python and R. Take this course if you want to learn a popular machine learning algorithm and expand your repertoire of techniques to solve classification problems.

You would need to have an idea of the core machine learning algorithms. Naive Bayes is a slightly advanced algorithm so you would at least need to know what is supervised and unsupervised learning, and the difference between regression and classification problems.

This course is free of cost!

You can complete the “Naive Bayes from Scratch” course in a few hours.

Yes, you will receive a certificate of completion after successfully finishing the course and assessments.

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