In summary, here are 10 of our most popular random+forest courses

• Train ML Models: Coursera
• Statistical Inference & Predictive Modeling Foundations: Coursera
• Spark and Python for Big Data with PySpark: EDUCBA
• Deploying Deep Learning: Quantization, Serving, and Edge AI: Board Infinity
• Deploy & Optimize ML Services Confidently: Coursera
• Prompt Engineering: Vanderbilt University
• Python: Implement & Evaluate Random Forests for ML: EDUCBA
• Recommender Systems: Packt
• Deep Learning: Recurrent Neural Networks with Python: Packt
• Optimize ML Dev: Version, Reproduce, and Save: Coursera