This course delves into the world of gradient boosting algorithms, building upon basic machine learning knowledge to explore more advanced techniques and applications. Learners will understand the intricacies of gradient boosting, learn how to implement these algorithms effectively, and optimize their performance in real-world applications. The course provides detailed technical explanations and practical insights, perfect for those looking to enhance their data science and machine learning skills.
Understanding Gradient Boosting
Gain a comprehensive understanding of the gradient boosting algorithm and its applications in machine learning.
Implementing Gradient Boosting
Learn to effectively implement gradient boosting algorithms using popular libraries such as XGBoost and LightGBM.
Optimizing Performance
Explore techniques to optimize gradient boosting models for better accuracy and efficiency.
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