Udemy – Ensemble ML Mastery: Python Random Forest & AdaBoost 2024 2024-6

Ensemble ML Mastery: Python Random Forest & AdaBoost 2024. This comprehensive course is designed to equip you with the skills you need to solve real-world business challenges with complete confidence. This course will help you gain a deep understanding of the core concepts of ensemble machine learning and be able to use these techniques to solve complex real-world problems. By taking this course, you can become an expert in the field of machine learning and excel in today’s highly competitive job market.

What you will learn:

• Identify business problems suitable for decision tree, random forest, and XGBoost models.
• Deep understanding of advanced decision tree-based algorithms such as Random Forest, Bagging, Adabost, and XGBoost.
• Develop and analyze tree-based models in Python to extract actionable insights.
• Practice, discuss, and understand the fundamental concepts of machine learning.
• Have a comprehensive knowledge of decision trees and how to extend them with random forests.
• Know how to write Python code for random forests.
• Understand the differences between bagging and boosting.
• Implementing AdaBoost using Python.

This course is suitable for people who:

• Python enthusiasts who are interested in machine learning.
• Beginners who want to understand the basics of machine learning.
• Technology professionals looking for career advancement.
• Data enthusiasts who are eager to explore group methods.
• People interested in the real-world impact of artificial intelligence.

Ensemble ML Mastery: Python Random Forest & AdaBoost 2024 Course Details

• Publisher:  Udemy
• Instructor:  Teach Apex
• Training level: Beginner to advanced
• Training duration: 2 hours and 45 minutes
• Number of lessons: 21

Course headings

Prerequisites for Ensemble ML Mastery: Python Random Forest & AdaBoost 2024

• Python basics
• Basic Probability and Statistics

Course images

Sample course video

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File(s) password: www.downloadly.ir

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926 MB