🔍 Ever wondered how XGBoost works under the hood for regression tasks?
🚀 Welcome to *CampusX* !! In this tutorial, we'll unravel the mathematical intricacies of XGBoost for regression, guiding you through each step of the process. Whether you're a data scientist, a machine learning enthusiast, or someone eager to dive into the mathematical foundations of algorithms, this video is tailor-made for you.
📊 *Step-by-Step Guide* :
*Introduction to XGBoost Regression* : Understand the fundamentals of XGBoost and its adaptability to regression problems.
*Objective Function for Regression* : Dive into the mathematical formulation of the objective function, exploring how XGBoost minimizes the difference between predicted and actual values.
*Gradient Boosting Algorithm* : Follow the step-by-step process of gradient boosting, where weak learners are sequentially added to the model to correct errors.
*Regularization Techniques* : Explore how XGBoost incorporates regularization terms in the objective function to prevent overfitting and enhance model generalization.
*Tree Building Process* : Break down the construction of individual decision trees and their role in improving the model's predictive power.
*Prediction Calculation* : Learn how XGBoost calculates predictions for regression tasks, combining the outputs of multiple weak learners.
📈 *Hands-On Mathematical Calculation* :
Witness a practical demonstration where we apply the mathematical concepts to a sample dataset, showcasing how XGBoost refines its predictions through each iteration.
📈 Original Research Paper: https://browse.arxiv.org/pdf/1603.02754.pdf
🔗 *XgBoost Series Videos* :
XgBoost Introduction: https://www.youtube.com/watch?v=C6aDw4y8qJ0
XgBoost For Regression: https://www.youtube.com/watch?v=gmp2tS2joaA
XgBoost For Classification: https://www.youtube.com/watch?v=mELtxVUNNrw
Maths Behind XgBoost: https://www.youtube.com/watch?v=0Eo-_5bfers
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⌚Time Stamps⌚
00:00 - Intro
00:59 - The problem statement
02:24 - Solution Overview
10:42 - Step by Step Calculation
34:12 - Final Decision Tree
44:32 - Original Paper
✨ Hashtags✨
#DataScience #MachineLearning #Deeplearning #CampusX #XGBoost #Regression #PredictiveModeling #algorithmexplained #TechTutorial #aiexplained