Module 3- Part 2- ML boosting algorithms XGBoost, CatBoost and LightGBM

Relevant playlists: Machine Learning Concepts, simply explained:    • Machine Learning Concepts (shorter videos)   Deep Learning Concepts, simply explained:    • Deep Learning Codes and Concepts (Simply E...   Instructor: Pedram Jahangiry All of the slides and notebooks used in this series are available on my GitHub page, so you can follow along and experiment with the code on your own. https://github.com/PJalgotrader Lecture Outline: 0:00 Roadmap 2:12 What are the four fundamental questions in decision tree based models? 5:22 What features and cut off to start with? 10:12 How to split the samples (pre-sorted and histogram, GOSS, Greedy) 15:22 How to grow a tree? (Depth-wise, Leaf-wise, Symmetric) 19:52 How to combine trees (Bagging vs Boosting) 24:55 Evolution of XGBoost 34:48 XGBoost details 40:25 LightGBM details 41:15 CatBoost details 43:00 Comparing XGBoost, LightGBM and CatBoost

Module 3- Part 3- Time series challenges in machine learning. Cross validation and bootstrapping
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Module 3- Part 3- Time series challenges in machine learning. Cross validation and bootstrapping

Module 5- part 2- Decision Tree based ML models for Time Series: A Visual Deep Dive with Python
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Module 5- part 2- Decision Tree based ML models for Time Series: A Visual Deep Dive with Python

XGBoost ❌ LightGBM ❌ CatBoost ❌ Scikit-Learn GRADIENT BOOSTING Performance Compared
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XGBoost ❌ LightGBM ❌ CatBoost ❌ Scikit-Learn GRADIENT BOOSTING Performance Compared

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

How Gradient Boost Works [Implement the algorithm from scratch in Python]
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How Gradient Boost Works [Implement the algorithm from scratch in Python]

Pedro Tabacof - Unlocking the Power of Gradient-Boosted Trees (using LightGBM) | PyData London 2022
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Pedro Tabacof - Unlocking the Power of Gradient-Boosted Trees (using LightGBM) | PyData London 2022

Gradient Boosting : Data Science's Silver Bullet
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Gradient Boosting : Data Science's Silver Bullet

Anna Veronika Dorogush: Mastering gradient boosting with CatBoost | PyData London 2019
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Anna Veronika Dorogush: Mastering gradient boosting with CatBoost | PyData London 2019

Module 8- Part 2- Time Series Forecasting with NeuralProphet: Full Theory + FB Prophet Comparison
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Module 8- Part 2- Time Series Forecasting with NeuralProphet: Full Theory + FB Prophet Comparison

Model Complexity and VC Dimension
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Model Complexity and VC Dimension

LightGBM 101: Faster Gradient Boosting for Large-Scale ML
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LightGBM 101: Faster Gradient Boosting for Large-Scale ML

681: XGBoost: The Ultimate Classifier — with Matt Harrison
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681: XGBoost: The Ultimate Classifier — with Matt Harrison

CatBoost Part 1: Ordered Target Encoding
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CatBoost Part 1: Ordered Target Encoding

Jaroslaw Szymczak - Gradient Boosting in Practice: a deep dive into xgboost
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Jaroslaw Szymczak - Gradient Boosting in Practice: a deep dive into xgboost

Understanding XGBoost From A to Z!
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Understanding XGBoost From A to Z!

Anna Veronika Dorogush - CatBoost - the new generation of Gradient Boosting
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Anna Veronika Dorogush - CatBoost - the new generation of Gradient Boosting

Machine Learning Lecture 32 "Boosting" -Cornell CS4780 SP17
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Machine Learning Lecture 32 "Boosting" -Cornell CS4780 SP17

XGBoost Made Easy | Extreme Gradient Boosting | AWS SageMaker
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XGBoost Made Easy | Extreme Gradient Boosting | AWS SageMaker

Advanced time series forecasting with PyCaret- Is stock price really predictable?
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Advanced time series forecasting with PyCaret- Is stock price really predictable?

Why does every mammal get 1 billion heartbeats in their life?
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Why does every mammal get 1 billion heartbeats in their life?