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Play the role of an academic researcher preparing a machine learning model to predict the U.S. government’s focus for new policy legislation. You’ll process the legislation dataset with resampling and feature engineering techniques, employ a range of algorithms, including penalized regression and XGBoost, to fit a series of ML models, evaluate the effectiveness of the models, and tune them accordingly.
This liveProject is for intermediate R programmers who know the basics of data science. To begin these liveProjects you will need to be familiar with the following:TOOLS
In this liveProject, you’ll learn to estimate machine learning models based on text data using the tidymodels framework.
geekle is based on a wordle clone.