Predict Diabetes with a Random Forest using R

About this guided project

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.

What skills will you gain?

Data Science

Statistical Modeling

Supervised Learning

Predictive Modeling

Machine Learning Algorithms

Machine Learning Methods

Predictive Analytics

Applied Machine Learning

Random Forest Algorithm

Statistical Machine Learning

R Programming

Statistical Programming

Data Analysis

Statistical Analysis

Exploratory Data Analysis