This course builds upon basic machine learning knowledge to look into more advanced techniques and applications. Learners will understand the workings of gradient boosting, learn how to implement these algorithms effectively, and optimize their performance in real-world scenarios. The course provides detailed technical explanations and practical insights, perfect for those seeking to improve 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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