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
Sponsored by Pontificia Universidad Católica del Perú
502,488 already enrolled
4.7
(16,740 reviews)
Intermediate level
Recommended experience
Flexible schedule
Approx. 1 hour
Learn at your own pace
94%
Most learners liked this course
What you'll learn
Job-ready foundational machine learning skills in Python in just 6 weeks, including how to utilizeScikit-learn to build, test, and evaluate models.
How to apply data preparation techniques and manage bias-variance tradeoffs to optimize model performance.
How to implement core machine learning algorithms, including linear regression, decision trees, and SVM, for classification and regression tasks.
How to evaluate model performance using metrics, cross-validation, and hyperparameter tuning to ensure accuracy and reliability.
Skills you'll gain
Details to know
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Taught in English
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Learner reviews
4.7
16,740 reviews
- 5 stars
76.04%
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3.38%
- 2 stars
0.95%
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Showing 3 of 16740
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.
CX
4
Reviewed on Jun 24, 2020
This course walks us through the fundamentals of machine learning methods. The capstone project is very useful for those who have previous knowledge of machine learning and Python programming.
Recommended if you're interested in Data Science
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