About this Course

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Flexible deadlines
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Shareable Certificate
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Coursera Labs
Includes hands on learning projects.
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Approx. 21 hours to complete
English

Skills you will gain

  • Logistic Regression
  • Statistical Classification
  • Classification Algorithms
  • Decision Tree
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.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Approx. 21 hours to complete
English

Offered by

Placeholder

University of Washington

Syllabus - What you will learn from this course

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Week1
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
Week2
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
Week3
Week 3
3 hours to complete

Decision Trees

3 hours to complete
13 videos (Total 47 min), 3 readings, 3 quizzes
Week4
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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