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 Grenada - Ministry of ICT
653,861 already enrolled
18,263 reviews
Recommended experience
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
- Predictive Modeling
- Unsupervised Learning
- Feature Engineering
- Decision Tree Learning
- Logistic Regression
- Classification Algorithms
- Model Evaluation
- Supervised Learning
- Python Programming
- Dimensionality Reduction
- Scikit Learn (Machine Learning Library)
- Applied Machine Learning
- Machine Learning
- Regression Analysis
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Showing 3 of 18263
Reviewed on May 25, 2020
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.
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.