Lessons For All Our Courses

The Decision Tree ID3 algorithm from scratch Part 1

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September

The Decision Tree ID3 algorithm from scratch Part 1

The Decision Tree ID3 algorithm from scratch Part 2

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September

The Decision Tree ID3 algorithm from scratch Part 2

The Decision Tree ID3 algorithm from scratch Part 3

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September

The Decision Tree ID3 algorithm from scratch Part 3

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September

ID3 - Putting Everything Together

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September

Evaluating our ID3 implementation

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September

Compare with Sklearn implementation

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September

Visualizing the tree

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September

Plot the features importance

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September

Decision Trees Hyper-parameters

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September

Pruning

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September

[Optional] Gain Ration

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September

Decision Trees Pros and Cons

[Project] Predict whether income exceeds $50K/yr - Overview

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September

[Project] Predict whether income exceeds $50K/yr - Overview

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September

Ensemble Learning Section Overview

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September

What is Ensemble Learning?

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September

What is Bootstrap Sampling?

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September

What is Bagging?

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September

Out-of-Bag Error (OOB Error)

Implementing Random Forests from scratch Part 1

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September

Implementing Random Forests from scratch Part 1

Implementing Random Forests from scratch Part 2

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September

Implementing Random Forests from scratch Part 2

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September

Compare with sklearn implementation

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September

Random Forests Hyper-Parameters

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September

Random Forests Pros and Cons

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September

What is Boosting?

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September

AdaBoost Part 1

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