Decision Trees Courses and Certifications

Machine Learning: Concepts and Applications

25 ratings at Coursera

Comprehensive introduction to machine learning theory and practice using Python. Learn data preparation, modeling techniques, and evaluation methods with real-world datasets, focusing on practical applications and conceptual understanding.

• Coursera
• 1 day 13 hours 39 minutes
• Self-Paced
• Paid Course

Coursera

Interpretable Machine Learning Applications: Part 4

23 ratings at Coursera

Explore interpretable machine learning using Google's What-If Tool. Learn to analyze and visualize prediction model behavior for white wine quality classification using Decision Trees and Random Forests.

• Coursera
• 1 hour 55 minutes
• Self-Paced
• Paid Course

Neural Networks and Random Forests

18 ratings at Coursera

Explore advanced AI techniques: neural networks and random forests. Learn structure, coding, and applications. Complete projects on heart disease prediction and patient similarity analysis.

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

EDUCBA

Python: Logistic Regression & Supervised ML

17 ratings at Coursera

Master logistic regression and supervised ML using Python with the Titanic dataset, covering data analysis, feature engineering, model building, and evaluation techniques.

• Coursera
• 4 hours 39 minutes
• Self-Paced
• Paid Course

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

Machine Learning Classification Bootcamp in Python

1059 ratings at Udemy

Build 10 Practical Projects and Advance Your Skills in Machine Learning Using Python and Scikit Learn

• Udemy
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Packt Credential

Machine Learning, Data Science and Generative AI with Python

5 ratings at Coursera

Master machine learning, data science, and generative AI using Python. Build models with TensorFlow, work with big data using Spark, and deploy real-time AI systems ethically.

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

Machine Learning Algorithms

Explore key machine learning algorithms: Naïve Bayes, Support Vector Machine, Decision Tree, and Clustering. Gain practical understanding and implementation skills in Python.

• Coursera
• 15 hours 56 minutes
• Self-Paced
• Paid Course

Techniques d’intelligence artificielle : des fondements aux applications

Explorez les fondements de l'apprentissage automatique supervisé, des algorithmes de base aux réseaux de neurones profonds, avec des applications pratiques dans divers domaines.

• edX
• 6 weeks, 5-6 hours/week
• Self-Paced
• Free Online Course (Audit)

Supervised Learning and Its Applications in Marketing

Learn to apply supervised learning techniques in marketing using Python, focusing on customer segmentation, churn prediction, recommendation systems, and predictive modeling to drive data-driven business decisions.

• Coursera
• 21 hours 53 minutes
• Self-Paced
• Paid Course

Predictive Analytics

Discover how to transform enterprise data into actionable business intelligence using decision trees, neural networks, market basket analysis, and discriminant analysis tools.

• Coursera
• 2 days 7 hours 46 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

Coursera

Decision Tree Classifier for Beginners in R

Learn to build and evaluate decision tree models in R using the Sonar dataset. Gain hands-on experience with data partitioning, model training, performance metrics, and saving trained models.

• Coursera
• 2 hours 15 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