Tidymodels - The Machine Learning Framework For R

🌟 Course Title: Tidy up Your Machine Learning with Tidymodels in R! 🌟

🎓 Course Headline: Jumpstart your machine learning journey with the most powerful machine learning framework in the R programming language.

Welcome to Machine Learning With Tidymodels! 🚀

Dive into the world of advanced analytics and predictive modeling with Robert Lee Reed (MBA), your expert guide through the Tidymodels framework. This course is your key to unlocking the full potential of machine learning within the R programming language. 🔑📊

What You'll Learn:

• Efficient Data Handling: Master the art of splitting your data into training and testing sets, ensuring you have a robust model validation process. 📈

• Data Preprocessing with Ease: Save time and effort by leveraging Tidymodels' recipes functions to preprocess your data before modeling. ⚒️

• Model Workflows: Create intuitive workflows that fit models to your training data and generate predictions with ease. 🔗

• Model Comparisons & Evaluation: Use workflow sets to compare different models and preprocessing steps, and evaluate the accuracy of your machine learning models with confidence. 🎯

• Automatic Model Tuning: Discover how to automatically tune your models for optimal performance and predictive accuracy using Tidymodels' state-of-the-art techniques. 🔄

Course Structure:

1. Getting Started with Tidymodels

   • Understanding the Tidymodels framework
   • Setting up your environment for Tidymodels

2. Data Preparation & Splitting

   • Techniques for data splitting into training and testing sets
   • Ensuring a fair evaluation of your models

3. Preprocessing Data with Recipes

   • Step-by-step guide to using recipes functions
   • Handling missing values, encoding factors, and more!

4. Building Model Workflows

   • Constructing workflows with Tidymodels
   • Fitting models to your training data

5. Model Evaluation & Comparison

   • Learning how to evaluate model performance using various metrics
   • Understanding workflow sets and their role in model comparison

6. Hyperparameter Tuning

   • Introduction to the process of automatic model tuning
   • Techniques for finding the best version of a model

Who Is This Course For? ❓

This course is tailored for learners who are already familiar with the basics of R and have a foundational understanding of machine learning concepts. If you're ready to take your analytical skills to the next level and streamline your machine learning workflows, Tidymodels - The Machine Learning Framework For R is your perfect next step. 🎓

Join us on this exciting journey into the realm of efficient, robust, and cutting-edge machine learning with Tidymodels in R. Enroll now and transform the way you approach data analysis and predictive modeling! 🤩