In this video, we will understand and implement the Naive Bayes algorithm which is based on conditional probability.

** Code and Resources**
- 1 - Preparing the dataset: [ Ссылка ]
- 2- K-NN Based Classification: [ Ссылка ]

- Code: [ Ссылка ]
- Machine Learning for Beginners Course by FreeCodeCamp: [ Ссылка ]

** Contents **
- 0:00 intro
- 0:25 Naive Bayes Theorem
- 5:08 NB Classification
- 7:15 NB Classification Example
- 12:20 Coding Part
- 12:36 Dataset Preprocessing
- 13:48 KNN Recap
- 13:55 NB code using python
- 15:56 outro


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