All current Decision Trees Courses courses in 2024
32 Courses

Decision Trees, Random Forests, AdaBoost & XGBoost in Python
Join our comprehensive course on Udemy to master Decision Trees and Ensembling techniques using Python. Delve into the world of machine learning and data analysis as you learn to implement Bagging, Random Forest, Gradient Boosting Machine (GBM), AdaBoost, and XGBoost efficiently. Perfect for data enthusiasts aiming to enhance their skills in.

Machine Learning with Python : COMPLETE COURSE FOR BEGINNERS
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Embark on a comprehensive learning journey with the Machine Learning with Python: Complete Course for Beginners. This course, available on Udemy, is perfect for newcomers eager to explore the fascinating world of machine learning.
In this course, you will:
Understand the fundamentals of Python programming related to data science..

Decision Trees, Random Forests, Bagging & XGBoost: R Studio
Delve into the advanced world of Decision Trees and Ensembling techniques with our comprehensive course - Decision Trees, Random Forests, Bagging & XGBoost: R Studio, offered by Udemy. This course is specifically designed for those eager to enhance their understanding and application of R programming in machine learning.
Throughout this course.

Principles and Practice of Artificial Intelligence
In July 2017, China's State Council unveiled the "New Generation Artificial Intelligence Development Plan," a pivotal move that positioned AI advancement as a national strategic focus. As AI drives high-quality development, it reshapes the concept of new productive forces and stands as a measure of a nation's technological innovation and prowess in.


Machine Learning A-Z™: Hands-On Python & R in Data Science
Unlock the power of machine learning with the Machine Learning A-Z™ course, providing practical experience with Python and R. This Udemy course is designed for those looking to expand their knowledge in advanced data visualization, linear regression, decision trees, and essential libraries like NumPy and Pandas. Whether you're a budding data s.

Explainable AI in Python
Enhance your understanding of Explainable AI with this comprehensive course offered by DataCamp. Designed for data scientists and machine learning practitioners, you'll gain expertise in using Python's Scikit-learn, SHAP, and LIME to interpret and visualize AI model behaviors.
Why is Explainable AI crucial? Transparent, accountable, and t.

Intermediate Data Manipulation and Machine Learning
Intermediate Data Manipulation and Machine Learning | Coursera
In this comprehensive course, you will explore artificial intelligence (AI) and its core concepts, forming a solid foundation for machine learning. You will delve into regression analysis, applying univariate, polynomial, and multivariate regression techniques to real-wo.

Introduction to AI for Cybersecurity
Introduction to AI for Cybersecurity
"Introduction to AI for Cybersecurity" offers you a comprehensive understanding of how artificial intelligence (AI) is revolutionizing the field of cybersecurity. This course provides an in-depth look at key AI techniques and their applications in bolstering security measures, threat detection, and the safeguar.

Advanced Methods in Machine Learning Applications
Advanced Methods in Machine Learning Applications
The course "Advanced Methods in Machine Learning Applications" delves into sophisticated machine learning techniques, offering learners an in-depth understanding of ensemble learning, regression analysis, unsupervised learning, and reinforcement learning.
Emphasizing practical application, this cou.