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
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Chandigarh College of Engineering and Technology
600,228 already enrolled
4.7
(17,811 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
- Statistical Analysis
- Classification And Regression Tree (CART)
- Machine Learning Algorithms
- Machine Learning
- Applied Machine Learning
- Supervised Learning
- Unsupervised Learning
- Predictive Modeling
- Feature Engineering
- Scikit Learn (Machine Learning Library)
- Dimensionality Reduction
- Regression Analysis
- Python Programming
Details to know
Shareable certificate
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Taught in English
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Learner reviews
4.7
17,811 reviews
- 5 stars
75.89%
- 4 stars
18.64%
- 3 stars
3.44%
- 2 stars
0.99%
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1.01%
Showing 3 of 17811
RV
5
Reviewed on Jan 14, 2025
JT
5
Reviewed on Apr 17, 2020
This course was a great taster for machine learning techniques. My only recommendation would be to add more explanation on tuning techniques for models and cover more of the supporting mathematics.
CA
4
Reviewed on Dec 31, 2019
could be split in two courses to be given enough focus. it was very condensed and needed more time and explanation in each section. The instructor was very good but more details would have been nice
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