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.

Skills you'll gain: Prompt Engineering, Plot (Graphics), Prompt Engineering Tools, Large Language Modeling, Text Mining, Retrieval-Augmented Generation, Model Optimization, Data Visualization Software, Fine-tuning, Unstructured Data, Data Processing, Data Analysis
★ 5 (8) · Intermediate · Course · 1 - 4 Weeks

Northeastern University
Skills you'll gain: PyTorch (Machine Learning Library), Applied Machine Learning, Unsupervised Learning, Reinforcement Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning Methods, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Deep Learning, Decision Tree Learning, Classification Algorithms, Autoencoders, Predictive Modeling, Model Optimization
Intermediate · Course · 1 - 3 Months
University of Michigan
Skills you'll gain: Feature Engineering, Model Evaluation, Applied Machine Learning, Supervised Learning, Scikit Learn (Machine Learning Library), Predictive Modeling, Machine Learning Methods, Machine Learning, Model Training, Model Optimization, Machine Learning Algorithms, Unsupervised Learning, Python Programming, Classification Algorithms, Artificial Neural Networks
★ 4.6 (8.8K) · Intermediate · Course · 1 - 4 Weeks

Imperial College London
Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus
★ 4 (3.2K) · Intermediate · Course · 1 - 4 Weeks

O.P. Jindal Global University
Skills you'll gain: Anomaly Detection, Dimensionality Reduction, Unsupervised Learning, Customer Analysis, Marketing Analytics, Data Mining, Customer Insights, Autoencoders, Data-Driven Marketing, Applied Machine Learning, Machine Learning Algorithms, Machine Learning Methods, Marketing, Statistical Machine Learning, Target Audience, Supervised Learning, Python Programming, Algorithms
Beginner · Course · 1 - 3 Months

Skills you'll gain: Plot (Graphics), Statistical Visualization, R (Software), R Programming, Scatter Plots, Regression Analysis, Statistical Programming, Predictive Modeling, Artificial Neural Networks, Data Science, Deep Learning, Model Evaluation, Descriptive Statistics, Predictive Analytics, Statistical Methods, Data Wrangling, Data Manipulation, Machine Learning Methods, Model Training, Applied Machine Learning
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Evaluation, Continuous Deployment, Model Training, Tidyverse (R Package), R Programming, Health Informatics, Applied Machine Learning, Continuous Monitoring, Predictive Modeling, Machine Learning Methods, Dashboard Creation, Docker (Software), Containerization, Application Programming Interface (API)
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Matplotlib, Plot (Graphics), NumPy, Pandas (Python Package), Applied Machine Learning, Python Programming, Scikit Learn (Machine Learning Library), Data Visualization, Supervised Learning, Feature Engineering, Machine Learning, Natural Language Processing, Model Optimization, Machine Learning Algorithms, Text Mining, Data Manipulation, Predictive Modeling, Model Training, Unsupervised Learning, Data Management
Mixed · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Data Preprocessing, Predictive Modeling, Exploratory Data Analysis, R Programming, Customer Analysis, Predictive Analytics, Model Training, Data Science, Data Analysis, Data-Driven Decision-Making, R (Software), Data Cleansing, Applied Machine Learning, Logistic Regression, Machine Learning Methods, Data Transformation, Business Analytics, Decision Tree Learning, Customer Retention
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Model Evaluation, Applied Machine Learning, Model Optimization, Classification Algorithms, Amazon Web Services, Model Training, Machine Learning Methods, Machine Learning Software, Predictive Modeling, Machine Learning, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

Skills you'll gain: Apache Spark, Model Evaluation, Data Preprocessing, Keras (Neural Network Library), Transfer Learning, Deep Learning, Model Training, Tensorflow, A/B Testing, Responsible AI, Data Processing, Convolutional Neural Networks, Machine Learning Software, Artificial Neural Networks, Machine Learning Algorithms, Data Cleansing, Model Deployment, Machine Learning, Recurrent Neural Networks (RNNs), Dimensionality Reduction
Advanced · Course · 1 - 3 Months

University of California San Diego
Skills you'll gain: Supervised Learning, Feature Engineering, Predictive Modeling, Predictive Analytics, Data Manipulation, Statistical Machine Learning, Classification Algorithms, Machine Learning Methods, Statistical Modeling, Design Thinking, Scikit Learn (Machine Learning Library), Data Cleansing, Model Training, Regression Analysis, Data Processing, Model Optimization, Tensorflow, Logistic Regression
★ 4.5 (125) · Intermediate · Course · 1 - 3 Months