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 AlFanar
653,861 already enrolled
18,263 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
- Classification Algorithms
- Model Evaluation
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Python Programming
- Decision Tree Learning
- Feature Engineering
- Regression Analysis
- Predictive Modeling
- Dimensionality Reduction
- Unsupervised Learning
- Logistic Regression
- Machine Learning
- Skills section collapsed. Showing 7 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
- 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
- 5 stars
75.94%
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18.60%
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3.44%
- 2 stars
0.99%
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Showing 3 of 18263
RV
Reviewed on Jan 14, 2025
JT
Reviewed on Apr 17, 2020
This course was a great taster for machine learning techniques. My only recommendation would be to add more explanation on tuning techniques for models and cover more of the supporting mathematics.
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.
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