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: Tensorflow, PyTorch (Machine Learning Library), Natural Language Processing, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Neural Networks, Machine Learning, Machine Learning Algorithms, Data Analysis
Intermediate · Course · 1 - 4 Weeks

Packt
Skills you'll gain: AI Personalization, Data Manipulation, Apache Spark, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Natural Language Processing, AWS SageMaker, Scalability, Applied Machine Learning, Data Processing, Supervised Learning, Dimensionality Reduction, Machine Learning, Pandas (Python Package), Predictive Modeling, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks
Intermediate · Specialization · 3 - 6 Months

Skills you'll gain: AWS SageMaker, Applied Machine Learning, Amazon Web Services, No-Code Development, Machine Learning, Supervised Learning, Predictive Modeling, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Version Control, Data Validation, Data Cleansing
Beginner · Course · 1 - 3 Months

Johns Hopkins University
Skills you'll gain: Intrusion Detection and Prevention, Threat Detection, Computer Security Incident Management, Cybersecurity, Applied Machine Learning, Network Security, Machine Learning Algorithms, Machine Learning, Machine Learning Software, Unsupervised Learning, Supervised Learning, Artificial Neural Networks
Intermediate · Course · 1 - 3 Months

Skills you'll gain: Tensorflow, Image Analysis, Keras (Neural Network Library), Applied Machine Learning, Google Cloud Platform, Deep Learning, Computer Vision, Machine Learning
Beginner · Project · Less Than 2 Hours

Università di Napoli Federico II
Skills you'll gain: Unsupervised Learning, Supervised Learning, R Programming, Artificial Neural Networks, Machine Learning, Exploratory Data Analysis, Deep Learning, Predictive Modeling, Ggplot2, Regression Analysis, Dimensionality Reduction, Data Analysis, Data Manipulation, Data Modeling
Intermediate · Course · 1 - 4 Weeks

Coursera
Skills you'll gain: PySpark, Matplotlib, Apache Spark, Big Data, Data Processing, Distributed Computing, Data Management, Data Visualization, Data Analysis, Data Manipulation, Data Cleansing, Query Languages, Python Programming
Intermediate · Guided Project · Less Than 2 Hours

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

Skills you'll gain: Data Cleansing, Apache Spark, PySpark, Data Manipulation, Applied Machine Learning, Data Processing, Classification And Regression Tree (CART), Predictive Modeling, Data Science, Machine Learning, Google Cloud Platform, Python Programming
Intermediate · Guided Project · Less Than 2 Hours
Skills you'll gain: Applied Machine Learning, Unsupervised Learning, Regression Analysis, Machine Learning Algorithms, Linear Algebra, Machine Learning, Predictive Modeling, Statistical Modeling, Supervised Learning, Feature Engineering, Classification And Regression Tree (CART), Performance Tuning, Dimensionality Reduction, Algorithms
Intermediate · Course · 1 - 3 Months

Skills you'll gain: PySpark, Data Pipelines, Data Processing, AI Personalization, Dimensionality Reduction, OpenAI, Data Manipulation, Pandas (Python Package), Data Transformation, Unsupervised Learning, Applied Machine Learning, Machine Learning
Intermediate · Guided Project · Less Than 2 Hours

DeepLearning.AI
Skills you'll gain: MLOps (Machine Learning Operations), Application Deployment, Continuous Deployment, Software Development Life Cycle, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Continuous Monitoring, Data Pipelines
Intermediate · Course · 1 - 4 Weeks