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 Kalinga Institute of Industrial Technology
655,738 already enrolled
18,273 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
- Dimensionality Reduction
- Classification Algorithms
- Applied Machine Learning
- Model Evaluation
- Machine Learning
- Logistic Regression
- Python Programming
- Regression Analysis
- Unsupervised Learning
- Decision Tree Learning
- Supervised Learning
- Scikit Learn (Machine Learning Library)
- Feature Engineering
- Predictive Modeling
- Skills section collapsed. Showing 8 of 14 skills.
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Reviewed on Aug 31, 2020
Reviewed on Dec 13, 2022
Thank you Coursera & IBM for offering such a wonderful career-oriented course. Thank you very much Dr SAEED AGHABOZORGI and Dr Joseph Santarcangelo for providing the amazing learning Journey.
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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