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- Level Intermediate
- Duration 2 hours
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In this 1-hour long project-based course, you will learn how to (complete a training and test set using an R function, practice looking at data distribution using R and ggplot2, Apply a Random Forest model to the data, and examine the results using RMSE and a Confusion Matrix). Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.Auto Summary
Unlock the secrets of data science with our engaging course, "Predict Ideal Diamonds over Good Diamonds using a Random Forest using R." This intermediate-level, 1-hour project-based course is perfect for aspiring data scientists and AI enthusiasts eager to enhance their skills in predictive modeling using R. Designed by experienced instructors at Coursera, the course guides you through the essentials of preparing training and test datasets using R functions. Delve into data visualization with the powerful ggplot2 package, and master the application of Random Forest models to real-world data. You'll gain hands-on experience in evaluating model performance through RMSE and Confusion Matrix, ensuring a deep understanding of both the theoretical and practical aspects of data science. This concise, 120-minute course is available for free, making it an accessible and valuable resource for those looking to advance their career in data science and AI. Join us on this exciting journey and become proficient in predicting diamond quality with cutting-edge techniques!