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Understanding Machine Learning with Python

Course Summary

Use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment.


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    Course Syllabus

    Course Overview
    - 1m 41s

    —Course Overview 1m 41s
    Getting Started in Machine Learning
    - 25m 47s

    —Introduction 1m 4s
    —What Is Machine Learning? 2m 44s
    —Types of Machine Learning 3m 20s
    —Course Overview 3m 23s
    —Why This Course? 1m 57s
    —Installing Python and Jupyter Notebook 4m 26s
    —Python and Jupyter Notebook Demo 8m 52s
    Understanding the Machine Learning Workflow
    - 4m 30s
    Asking the Right Question
    - 5m 55s
    Preparing Your Data
    - 18m 37s
    Selecting Your Algorithm
    - 11m 35s
    Training the Model
    - 16m 6s
    Testing Your Model's Accuracy
    - 24m 40s
    Summary
    - 5m 15s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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