YoVDO

Hyperparameter Tuning Using Tidymodels

Offered By: Julia Silge via YouTube

Tags

Hyperparameter Optimization Courses Machine Learning Courses Parallel Processing Courses Data Formatting Courses Hyperparameter Tuning Courses Scatter Plots Courses Random Forest Models Courses tidymodels Courses

Course Description

Overview

Explore hyperparameter tuning for random forest models using #TidyTuesday data on global food consumption. Dive into data preparation, model building, and visualization techniques. Learn to implement parallel processing for efficient hyperparameter optimization. Gain practical insights on applying tidymodels for advanced machine learning tasks.

Syllabus

Introduction
Data
CountryCode
Data format
Modeling function
Building a model
Scatter Plot
Hyperparameter Tuning
Modes
Collect Metrics
Parallel Processing


Taught by

Julia Silge

Related Courses

AI for Medical Prognosis
DeepLearning.AI via Coursera
Predict Housing Prices in R on Boston Housing Data
Coursera Project Network via Coursera
Predict Gas Guzzlers using MPG Data Set and a Random Forest
Coursera Project Network via Coursera
Predict Ideal Diamonds over Good Diamonds using a Random Forest using R
Coursera Project Network via Coursera
Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R
Coursera Project Network via Coursera