Great video thank you! I have one question, for CatBoost, when it is a classification problem, how do you replace the categorical columns words like France, Germany, etc.? Using your example, do you look at the first 50 rows for Germany and then choose the most common (majority) classification in the target column to replace the word Germany?
Great episodes guys! I started my journey in data with Kirill's Udemy courses in Power BI and Python! He is truly a great educator.
The simple explanations we need!
Loved it, thank you, both!❤️
Manuel
Great video thank you! I have one question, for CatBoost, when it is a classification problem, how do you replace the categorical columns words like France, Germany, etc.? Using your example, do you look at the first 50 rows for Germany and then choose the most common (majority) classification in the target column to replace the word Germany?
hi @1:26:52 for lightgbm you mentioned about lightgbm and the value behind sparse columns. then can we convert sparse columns to categorical columns