Singular Value Decomposition (SVD) with R | Introduction to Text Analytics with R | Part 8

This talk includes an overview of Singular value decomposition with R that covers:
1. Use of the irlba package to perform truncated SVD.
2. How to project a TF-IDF document vector into the SVD semantic space (i.e., LSA).
3. Comparison of model performance between a single decision tree and the mighty random forest.
4. Exploration of random forest tuning using the caret package.


The data and R code used in this series is available here:
https://code.datasciencedojo.com/data...

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