Supervised Machine Learning: Regression and Classification
Master foundational machine learning concepts through hands-on Python implementation of regression and classification models.
Master foundational machine learning concepts through hands-on Python implementation of regression and classification models.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Machine Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
4.9
(22,170 ratings)
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English
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What you'll learn
Build machine learning models using Python
Implement linear and logistic regression
Apply regularization to prevent overfitting
Use gradient descent optimization
Develop supervised learning algorithms
Skills you'll gain
This course includes:
5.8 Hours PreRecorded video
9 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
This comprehensive course, taught by AI pioneer Andrew Ng, introduces fundamental supervised machine learning concepts. Students learn to implement linear regression and logistic regression models using Python, NumPy, and scikit-learn. The curriculum covers essential topics including gradient descent, feature scaling, polynomial regression, and regularization to prevent overfitting, with hands-on programming assignments and labs to reinforce learning.
Week 1: Introduction to Machine Learning
Module 1 · 7 Hours to complete
Week 2: Regression with multiple input variables
Module 2 · 9 Hours to complete
Week 3: Classification
Module 3 · 16 Hours to complete
Fee Structure
Instructors
Pioneer in AI and Online Education
Andrew Ng is the Founder of DeepLearning.AI, a General Partner at AI Fund, and the Chairman and Co-Founder of Coursera, where he also serves as an Adjunct Professor at Stanford University. Renowned for his groundbreaking contributions to machine learning and online education, Dr. Ng has transformed countless lives through his work in AI, having authored or co-authored over 100 research papers in machine learning, robotics, and related fields. His notable past roles include serving as chief scientist at Baidu and leading the founding team of Google Brain. Currently, Dr. Ng focuses on his entrepreneurial ventures, seeking innovative ways to promote responsible AI practices across the global economy.
Expert Curriculum Engineer and Advocate for Deep Learning Education
Geoff Ladwig began his career as a Deep Learning student and later became a mentor for the Deep Learning Specialization. He has served as a consultant for the Natural Language Processing Specialization and currently holds the position of Curriculum Engineer for the Machine Learning Specialization at DeepLearning.AI. With extensive experience as an ASIC, hardware, and system engineer/architect in the communications and computer industries, Geoff combines his technical expertise with a passion for education in machine learning.
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4.9 course rating
22,170 ratings
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