- Introduction
- What is meant by learning part 1
- What is meant by learning part 2
- What is meant by learning part 3
- Machine Learning Problems
- Bias-Variance Trade-off
Machine Learning Random Forest Adaboost and Decision Tree
Quick Facts
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Medium of instructions
English
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Mode of learning
Self study
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Mode of Delivery
Video and Text Based
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Course and certificate fees
Fees information
₹ 499 ₹1,199
certificate availability
Yes
certificate providing authority
Udemy
The syllabus
Introduction
Random Forests and Decision Trees
- How Random Forests Work
- How Decision Trees work
- Decision Tree Algorithm
- Decision Trees Demo
- Random Forests in Depth
- Real-Life Analogy and Feature Importance
- Difference Between Random Forests and Decision Trees
AdaBoost
- What are Ensemble Methods
- Implementing AdaBoost Classifier Part 1
- Implementing AdaBoost Classifier Part 2
- AdaBoost Algorithm
- AdaBoost Efficiency
- AdaBoost Demo 1
- AdaBoost Demo 2
- Bonus Video - Jupyter Notebook
- Bonus Video- Jupyter Notebook 2
Articles
Popular Articles
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