About this Course

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Learner Career Outcomes

41%

started a new career after completing these courses

44%

got a tangible career benefit from this course

21%

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
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Approx. 21 hours to complete
English

Skills you will gain

Logistic RegressionStatistical ClassificationClassification AlgorithmsDecision Tree

Learner Career Outcomes

41%

started a new career after completing these courses

44%

got a tangible career benefit from this course

21%

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.
Approx. 21 hours to complete
English

Offered by

Placeholder

University of Washington

Syllabus - What you will learn from this course

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Week
1

Week 1

1 hour to complete

Welcome!

1 hour to complete
8 videos (Total 27 min), 3 readings
3 hours to complete

Linear Classifiers & Logistic Regression

3 hours to complete
18 videos (Total 78 min), 2 readings, 2 quizzes
Week
2

Week 2

3 hours to complete

Learning Linear Classifiers

3 hours to complete
18 videos (Total 83 min), 2 readings, 2 quizzes
2 hours to complete

Overfitting & Regularization in Logistic Regression

2 hours to complete
13 videos (Total 66 min), 2 readings, 2 quizzes
Week
3

Week 3

3 hours to complete

Decision Trees

3 hours to complete
13 videos (Total 47 min), 3 readings, 3 quizzes
Week
4

Week 4

2 hours to complete

Preventing Overfitting in Decision Trees

2 hours to complete
8 videos (Total 40 min), 2 readings, 2 quizzes
1 hour to complete

Handling Missing Data

1 hour to complete
6 videos (Total 25 min), 1 reading, 1 quiz

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About the Machine Learning Specialization

Machine Learning

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