Effective Resampling for Machine Learning in Tidymodels {rsample} R package reviews

In this video, we'll learn how to use three most important resampling techniques: train-test split, cross-validation and bootstrapping. Random sampling, stratified sampling for numeric and categorical variables. What is not in the video are grouped resampling and time specific resampling, they deserve a separate video each. If you only want the code (or want to support me), consider join the channel (join button below any of the videos), because I provide the code upon members requests. Enjoy! 🥳 Welcome to my VLOG! My name is Yury Zablotski & I love to use R for Data Science = "yuzaR Data Science" ;) This channel is dedicated to data analytics, data science, statistics, machine learning and computational science! Join me as I dive into the world of data analysis, programming & coding. Whether you're interested in business analytics, data mining, data visualization, or pursuing an online degree in data analytics, I've got you covered. If you are curious about Google Data Studio, data centers & certified data analyst & data scientist programs, you'll find the necessary knowledge right here. You'll greatly increase your odds to get online master's in data science & data analytics degrees. Boost your knowledge & skills in data science and analytics with my engaging content. Subscribe to stay up-to-date with the latest & most useful data science programming tools. Let's embark on this data-driven journey together!