Introduction to Text Analytics with R - Pre-Processing Our Test Data
Offered By: Data Science Dojo via YouTube
Course Description
Overview
Learn how to pre-process test data for text analytics in R in this 27-minute video tutorial. Explore techniques for preparing unseen textual data for predictions using trained models, including caching IDF values for TF-IDF calculations and performing SVD projections. Discover methods for creating predictions and evaluating model effectiveness through accuracy, sensitivity, and specificity metrics. Access accompanying data and R code to practice these concepts hands-on.
Syllabus
Introduction
Alignment
Recap
Code
Summary
Taught by
Data Science Dojo
Related Courses
Macroeconometric ForecastingInternational Monetary Fund via edX Machine Learning With Big Data
University of California, San Diego via Coursera Data Science at Scale - Capstone Project
University of Washington via Coursera Structural Equation Model and its Applications | 结构方程模型及其应用 (粤语)
The Chinese University of Hong Kong via Coursera Data Science in Action - Building a Predictive Churn Model
SAP Learning