Packt Publishing – Ensemble Machine Learning In Python Random Forest AdaBoost 2026
English | Tutorial | Size: 518.88 MB
In this 3-hour course, you will master ensemble machine learning techniques like Random Forest and AdaBoost to enhance model performance. Learn how to combine multiple models to improve prediction accuracy and tackle complex tasks using hands-on coding examples.
What I will be able to do after this course
Understand key concepts of ensemble learning and model optimization
Implement Random Forest and AdaBoost algorithms for classification and regression
Optimize model performance using techniques like bagging and boosting
Apply ensemble learning techniques to real-world datasets and problems
Course Instructor(s)
The course is taught by Lazy Programmer, a skilled educator with a decade of experience in machine learning, deep learning, and statistics. He has authored pioneering courses and helped thousands of students master data science and AI.
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