Скачать или смотреть OPENCV & C++ TUTORIALS - 194 | Machine Learning | DTrees Parameters | Decision Trees

🚀 Welcome to Tutorial 194 in our OpenCV & C++ series!
In this video, we continue diving into the exciting world of Machine Learning with OpenCV. Today, we explore the Decision Trees (DTrees) model parameters— a fundamental and powerful algorithm used for both classification and regression tasks. 🌳🧠
We'll go through how to train and predict using cv::ml::DTrees, understand the tree structure, and discuss key parameters like depth and pruning. If you're serious about mastering OpenCV's ML module, this tutorial is a must-watch! 💻🔍

🌠DTrees class: https://docs.opencv.org/4.8.0/d8/d89/...

🌠 I will continue to this tutorial series with this plan : https://docs.opencv.org/4.8.0/modules...

🌠 You may want to watch also:    • C++ Machine Learning Project - 1 | Getting...  

🌠 Stackoverflow: https://stackoverflow.com/users/11048...

🌠 Github: https://github.com/yunus-temurlenk?ta...

🌠 Twitter:   / code_enjoy  

🌠Hashnode: https://yunustemurlenk.hashnode.dev/

▬ Contents of this video ▬▬▬▬▬▬▬▬▬▬

0:00 - Introduction
0:14 - Coding

If you see any mistake and any advice please comment. Thanks for watching...

#opencv, #tutorial, #DTrees