Naive Bayes Classification with R | Example with Steps

Provides steps for applying Naive Bayes Classification with R.
Machine Learning videos: https://goo.gl/WHHqWP
R code and data file: https://github.com/bkrai/Top-10-Machi...
Topics covered,
00:00 Introduction
00:27 Data
01:51 Visualization to understand variables
05:11 Data partition
06:09 What is Naive Bayes' model?
07:42 Naive Bayes' model in R and interpretation
10:43 Plot model
11:41 Prediction
12:56 Confusion matrix and misclassification error for training and test data

Naive Bayes Classification is an important tool related to analyzing big data or working in data science field.

Machine Learning videos: https://goo.gl/WHHqWP
Becoming Data Scientist: https://goo.gl/JWyyQc
Introductory R Videos: https://goo.gl/NZ55SJ
Deep Learning with TensorFlow: https://goo.gl/5VtSuC
Image Analysis & Classification: https://goo.gl/Md3fMi
Text mining: https://goo.gl/7FJGmd
Data Visualization: https://goo.gl/Q7Q2A8
Playlist: https://goo.gl/iwbhnE

R is a free software environment for statistical computing and graphics, and is widely used by both academia and industry. R software works on both Windows and Mac-OS. It was ranked no. 1 in a KDnuggets poll on top languages for analytics, data mining, and data science. RStudio is a user friendly environment for R that has become popular.