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
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by The MasterMind Cooperative
593,751 already enrolled
4.7
(17,773 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 And Regression Tree (CART)
- Applied Machine Learning
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Predictive Modeling
- Machine Learning Algorithms
- Statistical Analysis
- Unsupervised Learning
- Supervised Learning
- Machine Learning
- Feature Engineering
- Python Programming
- Regression Analysis
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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Learner reviews
4.7
17,773 reviews
- 5 stars
75.88%
- 4 stars
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- 3 stars
3.44%
- 2 stars
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Showing 3 of 17773
RN
5
Reviewed on May 25, 2020
RV
5
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.
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.
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