About this Course

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Learner Career Outcomes

30%

started a new career after completing these courses

30%

got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
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

Learner Career Outcomes

30%

started a new career after completing these courses

30%

got a tangible career benefit from this course

11%

got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 34 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Content RatingThumbs Up92%(15,174 ratings)Info
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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