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    <title>Machine Learning on It was simple</title>
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    <copyright>Hansjörg Plieninger</copyright>
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      <title>Tutorial on tidymodels for Machine Learning</title>
      <link>https://hansjoerg.me/2020/02/09/tidymodels-for-machine-learning/</link>
      <pubDate>Sun, 09 Feb 2020 00:00:00 +0000</pubDate>
      
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      <description>Set Up Data Set: Diamonds Separating Testing and Training Data: rsample Data Pre-Processing and Feature Engineering: recipes Defining and Fitting Models: parsnip Summarizing Fitted Models: broom Evaluating Model Performance: yardstick Tuning Model Parameters: tune and dials Preparing a parsnip Model for Tuning Preparing Data for Tuning: recipes Combine Everything: workflows Selecting the Best Model to Make the Final Predictions  Summary Further Resources Session Info Updates   caret is a well known R package for machine learning, which includes almost everything from data pre-processing to cross-validation.</description>
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