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YouTube

Predict Water Availability in Sierra Leone With Random Forests

Julia Silge via YouTube

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Overview

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This screencast presents a complete tidymodels workflow for predicting water availability from Sierra Leone water-source data. It covers exploratory analysis, feature engineering for missing and categorical data, random forest fitting, resampling-based evaluation, and variable-importance analysis.

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

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