Sample Model Building


r_subheading-Course Description-r_end We are now ready to build our first model in RStudio. r_break r_break r_subheading-What You'll Learn-r_end • Correcting column names derived from tokenization to ensure smooth model training. r_break • Using caret to set up stratified cross validation. r_break • Using the doSNOW package to accelerate caret machine learning training by using multiple CPUs in parallel. r_break • Using caret to train single decision trees on text features and tune the trained model for optimal accuracy. r_break • Evaluating the results of the cross validation process.

Text Analytics tutorial slides can be accessed r_link-here- https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Introduction%20to%20Text%20Analytics%20with%20R-r_end r_break r_break Download R r_link-here- https://cran.r-project.org/-r_end r_break r_break SMS Spam Collection Dataset used in this tutorial can be accessed r_link-here- https://www.kaggle.com/uciml/sms-spam-collection-dataset-r_end

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