771: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko

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#GradientBoosting #XGBoost #LightGBM #CatBoost

Kirill Eremenko joins @JonKrohnLearns for another exclusive, in-depth teaser for a new course just released on the SuperDataScience platform, “Machine Learning Level 2”. Kirill walks listeners through why decision trees and random forests are fruitful for businesses, and he offers hands-on walkthroughs for the three leading gradient-boosting algorithms today: XGBoost, LightGBM, and CatBoost.

In this episode you will learn:
• [00:00:00] Introduction
• [00:07:58] All about decision trees
• [00:20:33] All about ensemble models
• [00:37:17] All about AdaBoost
• [00:45:21] All about gradient boosting
• [00:59:56] Gradient boosting for classification problems
• [01:04:09] Advantages of XGBoost
• [01:18:00] LightGBM
• [01:33:27] CatBoost

  1. Super Data Science: ML & AI Podcast with Jon Krohn
  2. Gradient Boosting xgboost lightgbm and catboost
  3. Gradient Boosting
  4. xgboost
  5. lightgbm
  6. catboost
Рекомендации по теме
771: Gradient Boosting: 1:57:32

771: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko

XGBoost vs Normal 0:00:39

XGBoost vs Normal Gradient Boosting

LightGBM 101: Faster 0:14:58

LightGBM 101: Faster Gradient Boosting for Large-Scale ML

XGBoost 101: eXtreme 0:14:06

XGBoost 101: eXtreme Gradient Boosting eXplained

Gradient Boosting 101 0:08:40

Gradient Boosting 101

CatBoost 101: Categorical 0:18:40

CatBoost 101: Categorical Gradient Boosting Explained

The Main Breakthrough 0:00:55

The Main Breakthrough in AdaBoost

What is Bootstrapping? 0:01:00

What is Bootstrapping?

One-Hot Encoding 101 0:00:58

One-Hot Encoding 101

Bootstraping with Random 0:01:00

Bootstraping with Random Forest

Random Forests Analogy: 0:01:00

Random Forests Analogy: Having Fun at the Fair

Decision Trees 101 0:06:48

Decision Trees 101

Комментарии
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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.

mabenba
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Currently taking the course, ML level 2!

Moses_
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Loved it, thank you, both!❤️

Manuel

ddddsdsdsd
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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

milleniumsalman
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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?

fouried