Feature Selection Using R | Machine Learning Models using Boruta Package

Описание к видео Feature Selection Using R | Machine Learning Models using Boruta Package

Provides steps for carrying out feature selection for building machine learning models using Boruta package.
R code: https://goo.gl/h46Rv2
More ML videos: https://goo.gl/WHHqWP
Timestamps:
00:00 Feature selection using R
02:31 Libraries
02:29 Data
03:14 Feature Selection
07:54 Tentative Fix
10:07 Data Partition
10:54 Random Forest Model
12:11 Prediction - Test Data

Feature selection is an important tool related to analyzing big data or working in data science field.

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.

#FeatureSelection #machinelearning #boruta

Комментарии

Информация по комментариям в разработке