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!
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Aimsun SLU
590,470 already enrolled
4.7
(17,748 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
- Predictive Modeling
- Supervised Learning
- Dimensionality Reduction
- Python Programming
- Machine Learning
- Classification And Regression Tree (CART)
- Feature Engineering
- Machine Learning Algorithms
- Statistical Analysis
- Applied Machine Learning
- Scikit Learn (Machine Learning Library)
- Regression Analysis
- Unsupervised Learning
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is available as part of
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Learner reviews
4.7
17,748 reviews
- 5 stars
75.88%
- 4 stars
18.65%
- 3 stars
3.45%
- 2 stars
0.99%
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Showing 3 of 17748
RN
5
Reviewed on May 25, 2020
RV
5
Reviewed on Jan 14, 2025
good course , some part is typical more statistical part shown, even i have good understanding of ML , so new learner will find little typical. rest tutor voice and language is understandable.
IK
5
Reviewed on Dec 13, 2022
Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.
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