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Decision Trees and Ensemble Methods

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Explore decision trees, ensemble methods, and advanced techniques like random forests and boosting algorithms for improved machine learning model performance.
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36 Lesons
2 hours 30 minutes
On-Demand
Free-Video
Great Learning

Boosting

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Explore ensemble learning techniques like boosting to enhance machine learning performance. Learn about bias, variance, and popular algorithms for improved model accuracy and decision-making.
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14 Lesons
1 hour 44 minutes
On-Demand
Free-Video
Great Learning

Bagging and Boosting

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Explore ensemble learning techniques like bagging and boosting to improve machine learning model performance. Learn how to combine multiple algorithms for better results across various domains.
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7 Lesons
1 hour 35 minutes
On-Demand
Free-Video
Julia Silge

Predict Astronauts' Mission Duration With Tidymodels and Bootstrap Aggregation

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Explore astronaut mission duration prediction using R's tidymodels and bootstrap aggregation, featuring data analysis, preprocessing, and model evaluation techniques.
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14 Lesons
39 minutes
On-Demand
Free-Video
UofU Data Science

Machine Learning Fundamentals - Lecture 8

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Dive into advanced machine learning concepts and techniques through comprehensive coverage of key algorithms, theoretical foundations, and practical applications in data science.
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1 Lesons
1 hour 14 minutes
On-Demand
Free-Video
Software Engineering Courses - SE Courses

Logistic Regression and Ensemble Learning - Bagging and Boosting - AdaBoost

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Explore logistic regression, ensemble learning, bagging, and boosting in this AI/ML course. Learn AdaBoost and decision stumps for strong non-linear classification.
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18 Lesons
44 minutes
On-Demand
Free-Video
EuroPython Conference

Machine Learning - Power of Ensembles

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Explore ensemble methods in machine learning, combining diverse models for improved accuracy. Learn bagging, boosting, and stacking techniques with real-world examples and practical insights.
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1 Lesons
17 minutes
On-Demand
Free-Video
EuroPython Conference

Walking the Random Forest and Boosting the Trees

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Explore tree-based ensemble models like Random Forest and Gradient Boosting, understanding their theory and implementation in Python for effective data science applications.
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5 Lesons
24 minutes
On-Demand
Free-Video
Shaw Talebi

10 Decision Trees are Better Than 1 - Random Forest and AdaBoost

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Explore tree ensembles: Random Forest and AdaBoost. Learn bagging, boosting techniques, and their benefits. Apply knowledge to breast cancer prediction using example code.
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7 Lesons
17 minutes
On-Demand
Free-Video
PCS Institute for Basic Science

Resource Saving via Ensemble Techniques for Quantum Neural Networks

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Explore ensemble techniques for quantum neural networks, enhancing performance and mitigating hardware noise. Learn about bagging and AdaBoost methods for resource-efficient, large-scale quantum models.
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1 Lesons
1 hour 15 minutes
On-Demand
Free-Video