Machine Learning | Naive Bayes Classifier | What are they? How many types are there?
What is a Naive Bayes Classifier?
What is a discriminant function and how is it related to the naive Bayes classifier?
Why is it called so, what are the naive assumptions that it works on?
Why is it also called a Probabilistic Generative Classifier?
What is Gaussian Naive Bayes model?
What is Multinomial Naive Bayes?
What is Bernoulli Naive Bayes?
Why Naive Bayes classifiers are used so extensively in the text classification, IoT and other applications?
What are the advantages of the Naive Bayes Classifier?
This video answers all these questions, with a detailed explanation of each in a very structured manner. This video takes a practical approach and explains concepts taking real-life application examples.
This video also illustrates the working of a Naive Bayes Classifier by computing the class probability from scratch for a sample class level of a given sample data.
Linked Videos:
Bayesian Linear Regression:
• Machine Learning | Bayesian Linear Regression
Bias Variance Trade-Off:
• Machine Learning | Bias Variance Trade-Off
Regularisation:
• Machine Learning | Regularization - Lasso,...