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

In this 1-hour project-based course, you will master the art of predicting poisonous mushrooms using machine learning techniques in R. Through hands-on practice, you will:

• Create a random Training and Test Set from one Data Source using an R function.
• Explore data distribution and visualization using R and ggplot2.
• Apply a Random Forest model using the FFTrees package in R.
• Analyze the results using a Confusion Matrix.

This course is tailored for learners keen on delving into machine learning and data analysis. Join us for an immersive learning experience!