Uplinker Courses2024 Opublikowano 17 Maja Uplinker Opublikowano 17 Maja Free Download Pluralsight - Random Forests Published: 5/2025 MP4 | Video: h264, 1920x1080 | Audio: AAC, 48 KHz Language: English | Size: 111 MB | Duration: 38m 57s Machine learning models often struggle with overfitting, bias, and instability with complex data. In this course, Random Forests, you'll learn to build robust and accurate machine learning models using ensemble learning. First, you'll explore the fundamental principles of Random Forest, including how it leverages ensemble learning by combining multiple decision trees to enhance accuracy, reduce variance, and improve predictive performance. Next, you'll discover key techniques such as feature importance, hyperparameter tuning, and strategies to prevent overfitting. Finally, you'll learn how to implement Random Forest using Python and scikit-learn, applying it to real-world datasets. When you're finished with this course, you'll have the skills and knowledge of Random Forest needed to develop reliable and high-performing machine learning models. Homepage: This is the hidden content, please Zaloguj się lub Zarejestruj się This is the hidden content, please Zaloguj się lub Zarejestruj się No Password - Links are Interchangeable Cytuj
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