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.
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Martin Luther Christian University
652,331 already enrolled
18,255 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
- Applied Machine Learning
- Python Programming
- Model Evaluation
- Unsupervised Learning
- Machine Learning
- Decision Tree Learning
- Supervised Learning
- Regression Analysis
- Logistic Regression
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Predictive Modeling
- Classification Algorithms
- Skills section collapsed. Showing 9 of 14 skills.
Details to know
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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
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- Earn a shareable career certificate from IBM
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Learner reviews
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3.44%
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Showing 3 of 18255
RV
Reviewed on Jan 14, 2025
IK
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.
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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