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 Fractal
609,043 already enrolled
4.7
(17,889 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
- Unsupervised Learning
- Supervised Learning
- Dimensionality Reduction
- Classification And Regression Tree (CART)
- Machine Learning Algorithms
- Regression Analysis
- Statistical Analysis
- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Machine Learning
- Python Programming
Details to know
Shareable certificate
Add to your LinkedIn profile
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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Learner reviews
4.7
17,889 reviews
- 5 stars
75.89%
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Showing 3 of 17889
RN
5
Reviewed on May 25, 2020
FO
5
Reviewed on Oct 8, 2020
I'm extremely excited with what I have learnt so far. As a newbie in Machine Learning, the exposure gained will serve as the much needed foundation to delve into its application to real life problems.
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.
