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
This course is part of multiple programs.


Instructors: Joseph Santarcangelo
Access provided by WIWYNN INTERNATIONAL CORPORATION
614,467 already enrolled
(17,929 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
- Dimensionality Reduction
- Classification And Regression Tree (CART)
- Python Programming
- Scikit Learn (Machine Learning Library)
- Unsupervised Learning
- Supervised Learning
- Statistical Analysis
- Machine Learning
- Applied Machine Learning
- Feature Engineering
- Regression Analysis
- Machine Learning Algorithms
- Predictive Modeling
Details to know

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Reviewed on Jan 14, 2025
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.
Reviewed on Aug 4, 2019
Very nice course with very less time . But i though there should be some mathematical explanation in detail what i observed there is lack of mathematical explanation.. overall course is good



