This course just gave me substantial and valuable knowledge on ml algorithms and how to apply it using python. As a result, it was a benefiting journey for me. Thanks a lot for such a course.
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Universidad de Antioquia
613,730 already enrolled
4.7
(17,923 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
- Classification And Regression Tree (CART)
- Applied Machine Learning
- Regression Analysis
- Feature Engineering
- Python Programming
- Machine Learning
- Machine Learning Algorithms
- Statistical Analysis
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Supervised Learning
- 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
17,923 reviews
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Showing 3 of 17923
HR
5
Reviewed on Sep 5, 2021
RN
5
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!
AG
5
Reviewed on Feb 1, 2020
Quite an informative course, well presented material without being overbearing for newcomers to ML. Highly recommended to everyone with prior CS experience who wants to get into AI/ML workloads.
