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Feature Selection Using R | Machine Learning Models using Boruta Package

Dr. Bharatendra Rai

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Feature Selection Using R | Machine Learning Models using Boruta Package

40 981 просмотр · 8 лет назад
Dr. Bharatendra Rai
50 тыс. подписчиков
40 981 просмотр · 8 лет назад
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