Random Forests Courses and Certifications

Payment Risk 101

1076 ratings at Udemy

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

• Udemy
• 3 hours 36 minutes
• Self-Paced
• Paid Course

EDUCBA

Machine Learning with R: Build, Analyze & Predict

16 ratings at Coursera

Master machine learning foundations and R programming through hands-on practice with regression, classification, decision trees, and ensemble methods for real-world data analysis.

• Coursera
• 12 hours 31 minutes
• Self-Paced
• Paid Course

Advanced AI Techniques for the Supply Chain

15 ratings at Coursera

Explore advanced ML techniques for supply chain optimization, including neural networks for demand prediction and image classification for quality control.

• Coursera
• 22 hours 9 minutes
• Self-Paced
• Paid Course

CertNexus

Build Decision Trees, SVMs, and Artificial Neural Networks

14 ratings at Coursera

Learn to build decision trees, SVMs, and neural networks for machine learning and deep learning. Gain practical skills in constructing models to solve regression, classification, computer vision, and natural language processing problems.

• Coursera
• 21 hours 54 minutes
• Self-Paced
• Paid Course

EDUCBA

PySpark: Apply & Evaluate Predictive ML Models

12 ratings at Coursera

Master PySpark's MLlib to build, evaluate, and deploy scalable regression, classification, and clustering models using distributed computing for real-world data analytics.

• Coursera
• 5 hours 15 minutes
• Self-Paced
• Paid Course

Coursera

Scikit-Learn to Solve Regression Machine Learning Problems

11 ratings at Coursera

Learn to build and train regression models using Scikit-Learn, exploring algorithms like support vector machines, random forests, and gradient boosting. Gain practical skills applicable to various industries.

• Coursera
• 1 hour 56 minutes
• Self-Paced
• Paid Course

Edureka

Applied Machine Learning with Python

Master practical machine learning with Python, from supervised and unsupervised algorithms to recommendation systems. Build classification models, implement regression, and create clustering solutions through hands-on exercises.

• Coursera
• 14 hours 19 minutes
• Self-Paced
• Paid Course

Supervised Learning Regression Classification Clustering

Master essential machine learning techniques from regression and classification to clustering, gaining practical skills to implement supervised and unsupervised learning for real-world data analysis.

• Coursera
• 7 hours 44 minutes
• Self-Paced
• Paid Course

Maven Analytics

Complete Visual Guide to Machine Learning

Gain insights into machine learning fundamentals through visual examples and Excel-based models, covering classification, regression, forecasting, and unsupervised learning techniques - no coding required.

• Coursera
• 15 hours 3 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning: Random Forest with Python from Scratch©

Master Python and Random Forest algorithm for machine learning. Build predictive models, handle data, and optimize performance through hands-on projects and real-world applications.

• Coursera
• 10 hours 28 minutes
• Self-Paced
• Paid Course

Coursera Credential

Statistical Inference & Predictive Modeling Foundations

Master statistical inference and predictive modeling through A/B testing, regression, neural networks, and ensemble methods to drive data-driven business decisions.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 8 courses

EDUCBA

AI & Predictive Analytics with Python

Master AI and predictive analytics using Python, from ensemble methods and clustering to supervised learning, logic programming, and NLP with hands-on real-world applications.

• Coursera
• 11 hours 21 minutes
• Self-Paced
• Paid Course

Packt

Machine Learning Foundations

Master feature engineering, core ML algorithms, and advanced techniques like neural networks and reinforcement learning through hands-on Python implementation.

• Coursera
• 7 hours 22 minutes
• Self-Paced
• Paid Course

Packt

Intermediate Data Manipulation and Machine Learning

Explore AI fundamentals, regression analysis, model preparation, classification techniques, and advanced machine learning concepts through interactive labs and real-world applications.

• Coursera
• 13 hours 16 minutes
• Self-Paced
• Paid Course

Packt

Advanced ML Algorithms & Unsupervised Learning

Master advanced machine learning techniques including Random Forest, SVM, PCA, K-Means clustering, and deep learning fundamentals to build more powerful predictive models and uncover patterns in unlabeled data.

• Coursera
• 8 hours 43 minutes
• Self-Paced
• Paid Course