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

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