DeepLearning.AI
Supervised Machine Learning: Regression and Classification
DeepLearning.AI

Supervised Machine Learning: Regression and Classification

This course is part of Machine Learning Specialization

Taught in English

Some content may not be translated

Andrew Ng
Aarti Bagul
Geoff Ladwig

Instructors: Andrew Ng

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608,296 already enrolled

Course

Gain insight into a topic and learn the fundamentals

4.9

(18,590 reviews)

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98%

Beginner level

Recommended experience

33 hours (approximately)
Flexible schedule
Learn at your own pace

What you'll learn

  • Build machine learning models in Python using popular machine learning libraries NumPy & scikit-learn

  • Build & train supervised machine learning models for prediction & binary classification tasks, including linear regression & logistic regression

Details to know

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Assessments

9 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.9

(18,590 reviews)

|

98%

Beginner level

Recommended experience

33 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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This course is part of the Machine Learning Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course

Welcome to the Machine Learning Specialization! You're joining millions of others who have taken either this or the original course, which led to the founding of Coursera, and has helped millions of other learners, like you, take a look at the exciting world of machine learning!

What's included

20 videos1 reading3 quizzes1 app item4 ungraded labs

This week, you'll extend linear regression to handle multiple input features. You'll also learn some methods for improving your model's training and performance, such as vectorization, feature scaling, feature engineering and polynomial regression. At the end of the week, you'll get to practice implementing linear regression in code.

What's included

10 videos2 quizzes1 programming assignment5 ungraded labs

This week, you'll learn the other type of supervised learning, classification. You'll learn how to predict categories using the logistic regression model. You'll learn about the problem of overfitting, and how to handle this problem with a method called regularization. You'll get to practice implementing logistic regression with regularization at the end of this week!

What's included

12 videos2 readings4 quizzes1 programming assignment9 ungraded labs

Instructors

Instructor ratings
5.0 (7,188 ratings)
Andrew Ng

Top Instructor

DeepLearning.AI
42 Courses7,192,455 learners

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DeepLearning.AI

Recommended if you're interested in Machine Learning

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