What are some advanced machine learning algorithms I can use in Python?
Some advanced machine learning algorithms include Gradient Boosting, Random Forests, and Support Vector Machines.
Can you explain how Gradient Boosting works?
Gradient Boosting builds models sequentially, each new model correcting errors made by the previous ones.
What libraries in Python can I use for these algorithms?
You can use libraries like Scikit-learn, XGBoost, and LightGBM for implementing these algorithms.
Are there any specific use cases for these algorithms?
Yes, they are commonly used in applications like fraud detection, recommendation systems, and customer segmentation.
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