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Introduction to Machine Learning with Gradient Boosting Models

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Overview

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This course aims to introduce you to building and understanding gradient boosting models through practical application in financial market predictions. It centers on using the Gradient Boosting Regressor to forecast price changes in Tesla stock, encompassing model training, hyperparameter tuning, and evaluation.

Syllabus

  • Lesson 1: Basic Gradient Boosting Model Training
  • Lesson 2: Evaluating Model with Cross-Validation
  • Lesson 3: Hyperparameter Tuning Using GridSearchCV
  • Lesson 4: Feature Importance in Gradient Boosting Models
  • Lesson 5: Using Early Stopping to Prevent Overfitting in Gradient Boosting Models

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