Description:
Explore data preprocessing and resampling techniques using tidymodels packages in R with #TidyTuesday data on college tuition and diversity in US colleges. Dive into exploratory data analysis, creating recipes, filtering, and applying steps to prepare data for modeling. Learn to implement logistic regression, perform model selection, and conduct resampling by grouping models. Discover how to work with testing data and gain insights into improving resampling techniques for more accurate results.
Data Preprocessing and Resampling Using Tidymodels
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#Programming
#Domain-Specific Languages (DSL)
#R Programming
#Computer Science
#Machine Learning
#Logistic Regression
#Data Science
#Data Analysis
#Exploratory Data Analysis
#Model Selection
#Data Preprocessing
#tidymodels
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