Random Forests Courses and Certifications

EDUCBA

Python: Implement & Evaluate Random Forests for ML

Master Random Forest implementation in Python through hands-on SONAR dataset classification, covering decision trees, cross-validation, and performance evaluation techniques.

• Coursera
• 3 hours 7 minutes
• On-Demand
• Paid Course

EDUCBA

R: Design & Evaluate Random Forests for Attrition

Master Random Forest algorithms in R to predict employee attrition through hands-on model building, parameter tuning, and performance evaluation using real HR data.

• Coursera
• 4 hours 17 minutes
• On-Demand
• Paid Course

Simons Institute

Debiasing Random Forests for Treatment Effect Estimation

Explore techniques for debiasing random forests in treatment effect estimation, focusing on resource allocation in election campaigns and get-out-the-vote experiments.

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

Practical Machine Learning

27 reviews

Learn essential machine learning concepts and techniques, from data collection to model evaluation, with hands-on practice using popular algorithms and the caret package in R.

• Coursera
• 8-9 hours
• On-Demand
• Paid Course

NPTEL-NOC IITM

Random Forests - Working, Advantages and Limitations

Explore the working principles, advantages, and limitations of Random Forests in this concise machine learning tutorial.

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

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

1039 ratings at Udemy

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

• Udemy
• 7 hours 20 minutes
• On-Demand
• Paid Course

Decision Trees, Random Forests, Bagging & XGBoost: R Studio

242 ratings at Udemy

Decision Trees and Ensembling techinques in R studio. Bagging, Random Forest, GBM, AdaBoost & XGBoost in R programming

• Udemy
• 5 hours 56 minutes
• On-Demand
• Paid Course

Neural Networks and Random Forests

17 ratings at Coursera

Explore advanced AI techniques: neural networks and random forests. Learn structure, coding, and applications. Complete projects on heart disease prediction and patient similarity analysis.

• Coursera
• 10 hours 16 minutes
• On-Demand
• Paid Course

DigitalSreeni

How to Use Random Forest in Python

Learn to implement Random Forest in Python for data analysis, including data importing, feature engineering, and model fitting techniques.

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

Machine Learning: Random Forests & Decision Trees

113 ratings at Codecademy

Explore decision trees and random forests for pattern recognition in data, learning implementation techniques and understanding model limitations for effective machine learning applications.

• Codecademy
• 3 hours
• On-Demand
• Free Trial Available

Shaw Talebi

10 Decision Trees are Better Than 1 - Random Forest and AdaBoost

Explore tree ensembles: Random Forest and AdaBoost. Learn bagging, boosting techniques, and their benefits. Apply knowledge to breast cancer prediction using example code.

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

Random Forests

Learn to build, evaluate, and implement Random Forests, including handling missing data and clustering. Gain practical skills using R for this powerful machine learning technique.

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

NPTEL-NOC IITM

Hands-on R: Implementing Tree Regression and Random Forest with Simulated Data

Implement tree regression and random forest techniques using simulated data in R, gaining practical experience with these powerful machine learning algorithms.

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

Python Machine Learning Bootcamp

105 ratings at Noble Desktop

Master machine learning fundamentals through hands-on Python programming, covering regression analysis, classification algorithms, and essential data science techniques for real-world problem-solving.

• Noble Desktop
• 30 hours
• On-Demand
• $1,895.00

Loan Default Prediction with Machine Learning

69 ratings at Corporate Finance Institute

Combine a data set with basic Machine Learning skills to predict which customers are likely to default on their loans

• Corporate Finance Institute
• 3 hours 56 minutes
• On-Demand
• Paid Course