About this Course

2,111,353 recent views
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
Beginner Level

Basic coding (for loops, functions, if/else statements) & high school-level math (arithmetic, algebra)

Other math concepts will be explained

Approx. 33 hours to complete
English

What you will 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

Skills you will gain

  • Regularization to Avoid Overfitting
  • Gradient Descent
  • Supervised Learning
  • Linear Regression
  • Logistic Regression for Classification
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
Beginner Level

Basic coding (for loops, functions, if/else statements) & high school-level math (arithmetic, algebra)

Other math concepts will be explained

Approx. 33 hours to complete
English

Offered by

Placeholder

DeepLearning.AI

Placeholder

Stanford University

Syllabus - What you will learn from this course

Content RatingThumbs Up99%(51,712 ratings)
Week
1
Week 1
7 hours to complete

Week 1: Introduction to Machine Learning

7 hours to complete
20 videos (Total 147 min)
Week
2
Week 2
10 hours to complete

Week 2: Regression with multiple input variables

10 hours to complete
10 videos (Total 66 min)
Week
3
Week 3
16 hours to complete

Week 3: Classification

16 hours to complete
11 videos (Total 98 min), 1 reading, 5 quizzes

Reviews

TOP REVIEWS FROM SUPERVISED MACHINE LEARNING: REGRESSION AND CLASSIFICATION

View all reviews

About the Machine Learning Specialization

Machine Learning

Frequently Asked Questions

More questions? Visit the Learner Help Center.