Machine Learning with Python
Master essential machine learning algorithms including regression, classification, and clustering using Python and scikit-learn.
Master essential machine learning algorithms including regression, classification, and clustering using Python and scikit-learn.
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 IBM Data Science Professional Certificate 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.
4.7
(16,038 ratings)
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What you'll learn
Implement various machine learning algorithms using Python
Build and evaluate regression and classification models
Apply clustering techniques for data segmentation
Use scikit-learn for machine learning tasks
Develop end-to-end machine learning projects
Skills you'll gain
This course includes:
2.9 Hours PreRecorded video
11 assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
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There are 6 modules in this course
This comprehensive course covers fundamental machine learning concepts and their implementation using Python. Students learn various algorithms including linear regression, logistic regression, K-Nearest Neighbors, Support Vector Machines, decision trees, and clustering techniques. The curriculum emphasizes hands-on practice using scikit-learn and includes real-world applications across different industries. Through labs and a final project, learners develop practical skills in building and evaluating machine learning models.
Introduction to Machine Learning
Module 1 · 1 Hours to complete
Regression
Module 2 · 2 Hours to complete
Classification
Module 3 · 4 Hours to complete
Linear Classification
Module 4 · 2 Hours to complete
Clustering
Module 5 · 1 Hours to complete
Final Exam and Project
Module 6 · 2 Hours to complete
Fee Structure
Instructors
Pioneering Data Scientist Bridging AI Research and Education
Dr. Joseph Santarcangelo, a Data Scientist at IBM, brings a unique blend of academic excellence and practical expertise to the field of data science and artificial intelligence. With a Ph.D. in Electrical Engineering, his groundbreaking research focused on the intersection of machine learning, signal processing, and computer vision to understand how video content influences human cognitive processes. At IBM, he has established himself as a prominent educator and course developer, creating comprehensive learning materials that have reached hundreds of thousands of students worldwide. His teaching portfolio encompasses a wide range of technical subjects, from foundational Python programming to advanced topics in artificial intelligence, machine learning, and computer vision. Santarcangelo's ability to translate complex technical concepts into accessible learning experiences has made him an influential figure in data science education, maintaining consistently high ratings from learners while continuing to push the boundaries of applied machine learning and artificial intelligence research.
38 Courses
Pioneering Data Scientist Leading Enterprise Analytics Innovation
Saeed Aghabozorgi, PhD, serves as a Senior Data Scientist at IBM, where he specializes in developing enterprise-level applications that transform complex data into actionable business knowledge. His expertise spans data mining, machine learning, and statistical modeling, with particular emphasis on large-scale datasets. As an accomplished educator, his courses have reached over 100,000 learners worldwide, maintaining an impressive 4.7 instructor rating. His most notable contribution includes the Machine Learning with Python course, which has enrolled more than 482,000 students and covers comprehensive topics from supervised learning to advanced clustering techniques. Through his work at IBM, he continues to advance the field of data science by developing cutting-edge analytical methods and sharing his expertise through educational initiatives that bridge the gap between theoretical knowledge and practical application.
Testimonials
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4.7 course rating
16,038 ratings
Frequently asked questions
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