This is an amazing course. specially for those with little knowledge with python. This course has helped with the basic understanding of Machine learning and usage of python as a data scientist.
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Alliance University
615,225 already enrolled
4.7
(17,937 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
- Dimensionality Reduction
- Classification And Regression Tree (CART)
- Statistical Analysis
- Regression Analysis
- Feature Engineering
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Python Programming
- Machine Learning Algorithms
- Machine Learning
- Predictive Modeling
- Applied Machine Learning
- Unsupervised Learning
Details to know
Shareable certificate
Add to your LinkedIn profile
Taught in English
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This course is available as part of
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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
4.7
17,937 reviews
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75.90%
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3.45%
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Showing 3 of 17937
MA
5
Reviewed on Aug 31, 2020
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!
FG
5
Reviewed on Aug 28, 2019
Very informative course, showing mostly how to use many different Machine Learning techniques. Although mathematical details are not discussed much, the intuition of the methods are discussed.
