SVD with R – Introduction to Text Analytics with R Part 8

SVD with R includes specific coverage of:

– Use of the irlba package to perform truncated SVD.
– How to project a TF-IDF document vector into the SVD semantic space (i.e., LSA).
– Comparison of model performance between a single decision tree and the mighty random forest.
– Exploration of random forest tuning using the caret package.

Kaggle Dataset:
Kaggle Spam Data Set

The data and R code here

Full Series:
Introduction to Text Analytics with R

More Data Science Material:
[Video] R Data Types – Beginning R Programming Part 2
[Blog]  R Algorithms in AI And Computing Forces Working Together: A Small Industry Insight

(443)

Avatar
About The Author
- Data Science Dojo is a paradigm shift in data science learning. We enable all professionals (and students) to extract actionable insights from data.

Avatar

You may use these HTML tags and attributes: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <cite> <code> <del datetime=""> <em> <i> <q cite=""> <s> <strike> <strong>