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 SVEC + MBU
653,147 already enrolled
18,259 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
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- Python Programming
- Model Evaluation
- Unsupervised Learning
- Dimensionality Reduction
- Applied Machine Learning
- Feature Engineering
- Predictive Modeling
- Decision Tree Learning
- Logistic Regression
- Machine Learning
- Regression Analysis
- Skills section collapsed. Showing 7 of 14 skills.
Details to know
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Taught in English
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This course is available as part of
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Showing 3 of 18259
RV
Reviewed on Jan 14, 2025
CA
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
FO
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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