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 Somaiya Vidyavihar University
657,622 already enrolled
18,282 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
- Regression Analysis
- Machine Learning
- Decision Tree Learning
- Logistic Regression
- Model Evaluation
- Dimensionality Reduction
- Classification Algorithms
- Applied Machine Learning
- Unsupervised Learning
- Feature Engineering
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Python Programming
- Skills section collapsed. Showing 8 of 14 skills.
Details to know
Shareable certificate
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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.
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- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
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Learner reviews
- 5 stars
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Showing 3 of 18282
RV
Reviewed on Jan 14, 2025
CA
Reviewed on Dec 31, 2019
could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice
RN
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!
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