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Classification Using Tree Based Models

Course Summary

Classification problems are common in all domains and tree based models are very effective solutions to these problems. This course is all about tree based models, from simple decision trees, to complex ensemble learning techniques, and more.


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    Course Syllabus

    Course Overview
    - 1m 36s

    —Course Overview 1m 36s
    Building Decision Trees
    - 17m 30s

    —Recognizing Classification Problems 5m 14s
    —Solving Classification Problems with Decision Trees 4m 35s
    —Building a Decision Tree 7m 40s
    Predicting Survival on the Titanic Using a Decision Tree
    - 46m 58s
    Using Ensembles of Algorithms to Overcome Overfitting
    - 17m 22s
    Predicting Survival on the Titanic Using Random Forests
    - 14m 52s
    Predicting Survival on the Titanic Using Gradient Boosted Trees
    - 18m 40s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and Data & Information Management Community

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