About this Course

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100% online
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Intermediate Level
Approx. 34 hours to complete
English

What you will learn

  • Describe how machine learning is different than descriptive statistics

  • Create and evaluate data clusters

  • Explain different approaches for creating predictive models

  • Build features that meet analysis needs

Skills you will gain

Python ProgrammingMachine Learning (ML) AlgorithmsMachine LearningScikit-Learn
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Intermediate Level
Approx. 34 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

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Week
1

Week 1

8 hours to complete

Module 1: Fundamentals of Machine Learning - Intro to SciKit Learn

8 hours to complete
6 videos (Total 71 min), 4 readings, 2 quizzes
Week
2

Week 2

10 hours to complete

Module 2: Supervised Machine Learning - Part 1

10 hours to complete
12 videos (Total 166 min), 2 readings, 2 quizzes
Week
3

Week 3

7 hours to complete

Module 3: Evaluation

7 hours to complete
7 videos (Total 81 min), 1 reading, 2 quizzes
Week
4

Week 4

10 hours to complete

Module 4: Supervised Machine Learning - Part 2

10 hours to complete
10 videos (Total 94 min), 12 readings, 2 quizzes

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About the Applied Data Science with Python Specialization

Applied Data Science with Python

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