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
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.
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
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.
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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