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Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R

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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 using the FFTrees package in R, and examine the results using 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.

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Dive into the world of Data Science & AI with this intermediate-level, 1-hour project-based course on Coursera. Learn to identify poisonous mushrooms using a Random Forest model and the FFTrees package in R. Engage in practical exercises, including data distribution analysis with ggplot2 and result evaluation using a Confusion Matrix. Ideal for North American learners, this free course offers a hands-on approach to mastering machine learning techniques in R.