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
This course is part of multiple programs.


Instructors: Joseph Santarcangelo
Access provided by JECRC University
595,561 already enrolled
(17,778 reviews)
Recommended experience
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
- Python Programming
- Regression Analysis
- Dimensionality Reduction
- Machine Learning
- Applied Machine Learning
- Unsupervised Learning
- Statistical Analysis
- Machine Learning Algorithms
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Feature Engineering
- Classification And Regression Tree (CART)
Details to know

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Reviewed on May 25, 2020
Reviewed on Jan 14, 2025
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.
Reviewed on Aug 3, 2019
The instructor was awesome. His voice was crisp and to the point. The course is actually well laid out with proper structure. Altogether a great learning experience. Cheers... Keep up the good work.
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