Random Forests Courses and Certifications

EDUCBA

Python: Implement & Evaluate Random Forests for ML

Build and evaluate Random Forest classifiers in Python: prepare the SONAR dataset, construct decision trees with the Gini index, and validate classification performance with cross-validation.

• Coursera
• 3 hours 7 minutes
• Self-Paced
• Paid Course

EDUCBA

R: Design & Evaluate Random Forests for Attrition

Build Random Forest classification models in R to predict employee attrition: clean and encode data, tune hyperparameters, validate models, and interpret performance metrics.

• Coursera
• 2 weeks, 2 hours a week
• Self-Paced
• Paid Course

Random Forests

Learn to build, use, and evaluate random forests, address missing data, explore clustering, and apply the method in R.

• YouTube
• 30 minutes
• Self-Paced
• Free Video

Julia Silge

Predict Water Availability in Sierra Leone With Random Forests

A start-to-finish tidymodels workflow builds and evaluates a random forest model to predict water availability from messy Sierra Leone water-source data.

• YouTube
• 45 minutes
• Self-Paced
• Free Video

Practical Machine Learning

27 ratings

Build prediction functions with the caret package: cross-validation and error rates, feature creation, classification trees, random forests, Naive Bayes, regularized regression, and combining predictors.

• Coursera
• 4 weeks, 2 hours a week
• Self-Paced
• 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
• Self-Paced
• Free Video

Packt

Machine Learning: Random Forest with Python from Scratch©

Build a Random Forest model from scratch in Python: learn data types and loops, then handle missing values, encode categorical data, and tune for accuracy.

• Coursera
• 5 weeks, 2 hours a week
• Self-Paced
• Paid Course

Neural Networks and Random Forests

18 ratings at Coursera

Build neural networks in Python with TensorFlow and Keras, handle overfitting and regularization, then compare decision trees and random forests on health and species prediction projects.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Machine Learning: Random Forests & Decision Trees

124 ratings at Codecademy

Build decision trees and improve their weaknesses with random forests for supervised machine learning.

• Codecademy
• 3 hours
• Self-Paced
• Free Trial Available

Great Learning

Random Forest Regression

Learn how random forest regression works, including its algorithm, advantages, disadvantages, comparison with logistic regression, and applications.

• YouTube
• 49 minutes
• Self-Paced
• Free Video

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
• Self-Paced
• 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
• Self-Paced
• Free Video

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
• Self-Paced
• Paid Course

Classification Models

9 ratings at Udacity

Learn how to use classification predictive models to solve business problems involving non-numeric data.

• Udacity
• 5 hours
• Self-Paced
• Free Online Course

Advanced Machine Learning Models for Prediction

3 ratings

Predice precios de vivienda en California con regresores SVM, árboles de decisión, random forest y redes neuronales, ajustando su complejidad para evitar sobreajuste.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate