Random Forests Courses and Certifications

Python Machine Learning Bootcamp

Master machine learning fundamentals through hands-on Python programming, covering regression analysis, classification algorithms, and essential data science techniques for real-world problem-solving.

• Noble Desktop
• On-Demand
• Paid Course

Advanced Methods in Machine Learning Applications

Master advanced machine learning techniques for complex problem-solving. Explore ensemble learning, regression analysis, unsupervised learning, and reinforcement learning. Gain practical skills to implement and optimize sophisticated models.

• Coursera
• 19 hours 58 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Machine Learning: Theory and Hands-on Practice with Python

Comprehensive exploration of machine learning, covering supervised and unsupervised techniques, with hands-on Python practice. Includes deep learning basics and real-world applications.

• Coursera
• 17 weeks, 9 hours a week
• On-Demand
• Paid Course
• 3 courses

Introduction to Machine Learning: Supervised Learning

59 ratings at Coursera

Explore supervised ML algorithms, prediction tasks, and model selection. Learn to improve performance using linear/logistic regression, KNN, decision trees, ensembling methods, and kernel techniques like SVM.

• Coursera
• 1 day 15 hours 59 minutes
• On-Demand
• Free Online Course (Audit)

H2O.ai

Practical Machine Learning on H2O

74 ratings at Coursera

Learn core machine learning techniques using H2O, including linear models, random forests, GBMs, and deep learning. Evaluate and choose optimal models for your data and business constraints.

• Coursera
• 1 day 6 minutes
• On-Demand
• Free Online Course (Audit)

Machine Learning for Finance in Python

Learn to model and predict stock data values using linear models, decision trees, random forests, and neural networks.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Complete Machine Learning with R Studio - ML for 2024

2519 ratings at Udemy

Linear & Logistic Regression, Decision Trees, XGBoost, SVM & other ML models in R programming language - R studio

• Udemy
• 12 hours 1 minute
• On-Demand
• Paid Course

Ensemble Machine Learning in Python: Random Forest, AdaBoost

2452 ratings at Udemy

Ensemble Methods: Boosting, Bagging, Boostrap, and Statistical Machine Learning for Data Science in Python

• Udemy
• 5 hours 47 minutes
• On-Demand
• Paid Course

Tree-Based Models in R

In this course, you'll learn how to use tree-based models and ensembles for regression and classification.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Decision Trees, Random Forests, AdaBoost & XGBoost in Python

963 ratings at Udemy

Decision Trees and Ensembling techniques in Python. How to run Bagging, Random Forest, GBM, AdaBoost & XGBoost in Python

• Udemy
• 7 hours 19 minutes
• On-Demand
• Paid Course

Machine Learning with Tree-Based Models in R

Learn how to use tree-based models and ensembles to make classification and regression predictions with tidymodels.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Hyperparameter Tuning in R

Learn how to tune your model's hyperparameters to get the best predictive results.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Data Science and Machine Learning Basic to Advanced

659 ratings at Udemy

Complete Introduction to Data Science and Machine Learning from Basic to Advanced.

• Udemy
• 5 hours
• On-Demand
• Paid Course

Payment Risk 101

587 ratings at Udemy

Learn the Payment 101, Payment Risk and Fraud 101. Learn common methods and prevention

• Udemy
• 3-4 hours
• On-Demand
• Paid Course

Data Mining with R: Go from Beginner to Advanced!

403 ratings at Udemy

Learn to use R software for data analysis, visualization, and to perform dozens of popular data mining techniques.

• Udemy
• 12 hours
• On-Demand
• Paid Course