Скачать с ютуб Full Tidymodels Workflowsets Machine Learning Tutorial | Interview w/ Julia Silge (Rstudio) в хорошем качестве

Full Tidymodels Workflowsets Machine Learning Tutorial | Interview w/ Julia Silge (Rstudio)

📖 Learning Labs PRO (get code & #shiny app): https://university.business-science.i... 😀 ABOUT: This is a 2-PART LEARNING LAB. In part 1, we interview ‪@JuliaSilge‬ , an expert in tidymodels, author of tidytext, and data scientist at RStudio. Julia has had an eclectic career path to become a data scientist at RStudio. Julia shares her data science journey. In part 2, we do a full tutorial on how to use the new #Tidymodels Workflowsets #R package. #Tidymodels is a rapidly growing ecosystem for Machine Learning in R. In this FULL TUTORIAL we share how to use the new #workflowsets package for hyperparameter tuning 9 combinations of models and preprocessing recipes. ======= Table of Contents ✨PART 1: INTERVIEW WITH JULIA SILGE, DATA SCIENTIST @RSTUDIO 00:00 Tidymodels Workflowsets | Special Guest: Julia Silge 04:26 Part 1 - Interview with Julia Silge, Data Scientist at RStudio 04:55 - Julia's Career Path: Starting in Astronomy 05:40 - First coding language was in C (R came much later) 09:10 - Path from Astronomy to RStudio (Data Science) 11:00 - Astronomists were getting jobs as data scientists 12:46 - Upskilling with MOOCs to Gain Employment 14:46 - Learning R & Tidyverse (Loved R) 16:20 - Making Exciting Projects to Gain Employment 18:10 - Problem: Text Analysis had Limits | Solution: Tidytext! 20:22 - Venturing into Open Source - Tidytext was born! 21:20 - Tidytext now has 1.4M Downloads!!! 21:50 - Getting a job with RStudio 23:00 - Learning from Real-World | Taking this experience to Rstudio 25:00 - Working on the Tidymodels Team with Max Kuhn & Company 26:00 - What is Tidymodels? https://www.tidymodels.org/ 28:00 - Free Resouce #1: Tidy Textmining Book! https://www.tidytextmining.com/ 29:10 - Free Resource #2: Tidy Modeling with R https://www.tmwr.org/ 30:45 - Free Resource #3: Supervised Modeling for Text Analysis in R https://smltar.com/ 34:19 - Where to learn more about Julia:   / juliasilge  , https://juliasilge.com/blog/,    / juliasilge   ✨PART 2 - FULL TIDYMODELS MACHINE LEARNING TUTORIAL W/ WORKFLOWSETS 35:13 - Part 2: Business Problem: Executive Compensation Analysis 38:25 - Shiny App Demo: CEO Compensation Explorer 41:47 - Why Workflowsets? Model Tuning for Many Models. 45:56 - Code Demo: Workflowsets | CEO Compensation Model 46:00 - Project Setup 49:21 - CEO Analysis 51:57 - Collect Data (CEO Data & Stock Data) 1:02:28 - Modeling 1:02:28 - Recipes x3 (No missing, Mean Impute, KNN Impute) 1:05:30 - Model Specs x3 (GLMNET, XGBOOST, SVM) 1:06:06 - 5-Fold Cross Validation 1:06:20 Workflowsets 1:12:52 Select & Finalize Best Model 1:14:15 Variable Importance 1:15:54 Learning More 1:23:48 Q&A