YoVDO

Predict Water Availability in Sierra Leone With Random Forests

Offered By: Julia Silge via YouTube

Tags

Machine Learning Courses Data Science Courses Random Forests Courses Resampling Courses tidymodels Courses

Course Description

Overview

Learn to predict water availability in Sierra Leone using random forest models with tidymodels in this 45-minute screencast. Explore data manipulation, visualization, and machine learning techniques as you work with #TidyTuesday water source data. Follow along step-by-step to build, evaluate, and interpret models, covering topics such as data preparation, feature engineering, model tuning, and variable importance. Gain practical insights into applying data science methods to real-world environmental challenges and enhance your R programming skills.

Syllabus

Introduction
Data
Map
Country
DataFrame
Fill
Payment
Building the model
Data budget
Editing model
Resampling
Last fit
VIP package
Data set


Taught by

Julia Silge

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity Natural Language Processing
Columbia University via Coursera Probabilistic Graphical Models 1: Representation
Stanford University via Coursera Computer Vision: The Fundamentals
University of California, Berkeley via Coursera Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent