This course just gave me substantial and valuable knowledge on ml algorithms and how to apply it using python. As a result, it was a benefiting journey for me. Thanks a lot for such a course.
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Universal college of engineering Mumbai
613,109 already enrolled
4.7
(17,923 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
- Feature Engineering
- Classification And Regression Tree (CART)
- Predictive Modeling
- Python Programming
- Applied Machine Learning
- Machine Learning
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Dimensionality Reduction
- Regression Analysis
- Unsupervised Learning
- Statistical Analysis
- Machine Learning Algorithms
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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Learner reviews
4.7
17,923 reviews
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Showing 3 of 17923
HR
5
Reviewed on Sep 5, 2021
FO
5
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.
RN
5
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!
