What Makes Category Boosting Unique in Machine Learning
Category boosting stands out in machine learning because it handles categorical data natively. CatBoost uses a unique approach that lets it process categories without extra steps. Imagine ensemble learning as a symphony, where each model plays its part. CatBoost acts like a skilled musician, making the ensemble learning technique sound better. In real-w…
Keep reading with a 7-day free trial
Subscribe to DataScience Show to keep reading this post and get 7 days of free access to the full post archives.