Random Forest Models Courses and Certifications

AI for Medical Prognosis

777 ratings at Coursera

In this course, you will build risk models and survival estimators for heart disease using statistical methods and a random forest predictor to determine patient prognosis.

• Coursera
• 1 day 5 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Julia Silge

Hyperparameter Tuning Using Tidymodels

Explore hyperparameter tuning for random forest models using global food consumption data, enhancing model performance and gaining insights into international dietary patterns.

• YouTube
• 30 minutes
• On-Demand
• Free Video

Simons Institute

Do Elephants Have Names? Vocal Labeling of Individual Conspecifics in African Elephants

Explores groundbreaking research on African elephants' potential use of name-like calls, challenging our understanding of animal communication and social cognition in non-human species.

• YouTube
• 57 minutes
• On-Demand
• Free Video

CNCF [Cloud Native Computing Foundation]

Kubeflow 1.0 Update by a Kubeflow Community Product Manager

Comprehensive overview of Kubeflow 1.0, covering community processes, user survey results, key features, business benefits, and a live demonstration of building and deploying a Kubeflow Pipeline.

• YouTube
• 44 minutes
• On-Demand
• Conference Talk

GOTO Conferences

How Klarna Optimized and Personalized the Checkout Experience

Explore Klarna's data-driven approach to optimizing checkout experiences through machine learning, focusing on personalization and improving hit rates for payment options.

• YouTube
• 28 minutes
• On-Demand
• Conference Talk

PASS Data Community Summit

Failure Prediction for Manufacturing Industry with SQL Server & R

Explore predictive modeling for manufacturing failure using SQL Server and R. Learn regression, binary classification, and random forest techniques to forecast product failures and estimate lifespans.

• YouTube
• 1 hour 15 minutes
• On-Demand
• Conference Talk

Predict Housing Prices in R on Boston Housing Data

Develop predictive models for housing prices using R and Random Forest, analyzing Boston Housing Data through data distribution, model application, and result evaluation.

• Coursera
• 1 week
• Finished
• Paid Course

Machine Learning: Predict Poisonous Mushrooms using a Random Forest Model and the FFTrees Package in R

98 ratings at Coursera

Learn to predict poisonous mushrooms using Random Forest and FFTrees in R. Practice data distribution analysis, model application, and result evaluation with confusion matrices.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course

Predict Ideal Diamonds over Good Diamonds using a Random Forest using R

33 ratings at Coursera

Explore diamond quality prediction using Random Forest in R, covering data preparation, visualization, model application, and performance evaluation.

• Coursera
• 1 hour 55 minutes
• Finished
• Paid Course

Predict Gas Guzzlers using MPG Data Set and a Random Forest

Explore data distribution, apply a Random Forest model to MPG data, and analyze results using a Confusion Matrix to predict gas-guzzling vehicles.

• Coursera
• 2 hours
• Finished
• Paid Course