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Why Naive Bayes is Perfect for Text Classification
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Naive Bayes is one of the simplest Supervised Machine Learning algorithm.
It is based on Bayes Theorem and works well with High Dimensional data well.
In this video we learn about naive bayes, its assumptions, understanding the difference between Probability and Likelihood
Video overview
00:00 - Introduction
01:11 - naive bayes assumptions
02:00 - probability vs likelihood
06:37 - working of naive bayes (case study)
09:53 - types of naive bayes
11:16 - advantages and disadvantages
14:29 - applications and implementation
Resources
If you are new to the channel, don't forget to subscribe, and share it with your friends and data science enthusiasts
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"Data Science is the sexiest job of 21st century"
If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #tranisition into #datascience , #machinelearning, #dataanalysis, this is a place for you
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It certainly amazes us to see the products of our choice and interest being #recommended to us, our favorite shows being filtered among millions of others
However, not many get to understand how it works. Not to worry, we shall help you understand the concepts in a #simplified and #concise fashion, helping in career transition into machine learning or data science
Datahat provides a #platform to learn, create and collaborate while simplifying data science, helping in the career transition to data science
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
Remember, "the greatest #investment ever made is investment in self growth and learning"
It is based on Bayes Theorem and works well with High Dimensional data well.
In this video we learn about naive bayes, its assumptions, understanding the difference between Probability and Likelihood
Video overview
00:00 - Introduction
01:11 - naive bayes assumptions
02:00 - probability vs likelihood
06:37 - working of naive bayes (case study)
09:53 - types of naive bayes
11:16 - advantages and disadvantages
14:29 - applications and implementation
Resources
If you are new to the channel, don't forget to subscribe, and share it with your friends and data science enthusiasts
--------------------------------------------------------------------------------------------------------------------------------------------
"Data Science is the sexiest job of 21st century"
If you are a #btech student, #diploma in #computerscience, #graduate looking to #career #tranisition into #datascience , #machinelearning, #dataanalysis, this is a place for you
Everyone of us use social media platforms such as instagram, facebook, or binge watch on OTT platforms such as #youtube , netflix, prime, hotstar or window shop on e-commerce sites such as amazon, flipkart, myntra
It certainly amazes us to see the products of our choice and interest being #recommended to us, our favorite shows being filtered among millions of others
However, not many get to understand how it works. Not to worry, we shall help you understand the concepts in a #simplified and #concise fashion, helping in career transition into machine learning or data science
Datahat provides a #platform to learn, create and collaborate while simplifying data science, helping in the career transition to data science
Understand the broad domain of data science and its related subdomains in machine learning, data analysis, data engineering in a self paced, #structured and #guided learning
Remember, "the greatest #investment ever made is investment in self growth and learning"