Random Forest courses can help you learn decision tree algorithms, ensemble methods, feature selection, and model evaluation techniques. You can build skills in data preprocessing, hyperparameter tuning, and interpreting model outputs. Many courses introduce tools like Python's scikit-learn and R's randomForest package, showing how these skills are applied to tasks such as classification, regression, and handling large datasets.

Edureka
Skills you'll gain: Predictive Modeling, Statistical Modeling, Statistical Machine Learning, Predictive Analytics, Statistical Methods, Data Analysis, Analytics, Applied Machine Learning, Business Analytics, Machine Learning Methods, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Model Training, Data Preprocessing, Model Optimization, Python Programming, Data Manipulation, Pandas (Python Package), NumPy
Intermediate · Course · 1 - 3 Months

Skills you'll gain: R Programming, Predictive Analytics, Applied Machine Learning, Predictive Modeling, R (Software), Data-Driven Decision-Making, Data Science, Machine Learning Software, Feature Engineering, Data Preprocessing, Machine Learning Methods, Machine Learning, Model Training, Telemarketing, Model Deployment, Model Optimization
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Feature Engineering, Model Evaluation, Predictive Modeling, Model Deployment, Model Training, Predictive Analytics, R (Software), R Programming, Data Analysis, Statistical Modeling, Statistical Analysis, Data Wrangling, Data Cleansing, Data Manipulation, Classification Algorithms, Data Import/Export, Data Preprocessing, Data Presentation, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Model Evaluation, Feature Engineering, Exploratory Data Analysis, Model Training, Data Preprocessing, Predictive Modeling, Predictive Analytics, Regression Analysis, Supervised Learning, Data Analysis, Applied Machine Learning, Data Cleansing, Statistical Modeling, Data Transformation, Correlation Analysis
Mixed · Course · 1 - 4 Weeks

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, R (Software), Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Applied Machine Learning, Transfer Learning, Machine Learning, Machine Learning Algorithms, Exploratory Data Analysis, Tidyverse (R Package), Deep Learning, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Wrangling, Data Manipulation
Intermediate · Course · 1 - 4 Weeks