The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills.
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by CU Gen Ed : KNOW ACCUM III
652,630 already enrolled
18,258 reviews
Intermediate level
Recommended experience
Flexible schedule
1 hour to complete
Learn at your own pace
94%
Most learners liked this course
What you'll learn
Explain key concepts, tools, and roles involved in machine learning, including supervised and unsupervised learning techniques.
Apply core machine learning algorithms such as regression, classification, clustering, and dimensionality reduction using Python and scikit-learn.
Evaluate model performance using appropriate metrics, validation strategies, and optimization techniques.
Build and assess end-to-end machine learning solutions on real-world datasets through hands-on labs, projects, and practical evaluations.
Skills you'll gain
- Feature Engineering
- Supervised Learning
- Predictive Modeling
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Logistic Regression
- Model Evaluation
- Classification Algorithms
- Dimensionality Reduction
- Unsupervised Learning
- Applied Machine Learning
- Python Programming
- Decision Tree Learning
- Regression Analysis
- Skills section collapsed. Showing 8 of 14 skills.
Details to know
Shareable certificate
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Taught in English
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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
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Showing 3 of 18258
RC
Reviewed on Feb 6, 2019
RN
Reviewed on May 25, 2020
Labs were incredibly useful as a practical learning tool which therefore helped in the final assignment! I wouldn't have done well in the final assignment without it together with the lecture videos!
FG
Reviewed on Aug 28, 2019
Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.
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