An Introductory Guide to Data Science and Machine Learning/

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Naive bayes Part-2

Dive further into Naive Bayes in this two-part lesson. Naive Bayes algorithms are based on Bayes’ rule that you studied in the previous lessons, and it works very well for Natural Language Problems like Document Classification and Spam Filtering.

We'll cover the following...

- Types of Naive Bayes algorithms
- Pros And Cons
  - Advantages
  - Disadvantages
- Implementation in Python

What is Data Science ?

Applications of Data Science

Overview of Libraries

Probability and Statistics

Machine Learning Part-1

Machine Learning Part-2

Machine Learning Part-3

Deep Learning

Machine Learning Tools and Libraries

Big Data Tools and Technologies

Where to go next ?

Naive bayes Part-2

Types of Naive Bayes algorithms