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
Machine Learning with Python
Machine Learning with Python
This course is part of multiple programs.
Instructors: Joseph Santarcangelo
Access provided by Gentera
655,426 already enrolled
18,269 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
- Feature Engineering
- Predictive Modeling
- Machine Learning
- Unsupervised Learning
- Supervised Learning
- Model Evaluation
- Logistic Regression
- Regression Analysis
- Python Programming
- Decision Tree Learning
- Classification Algorithms
- Scikit Learn (Machine Learning Library)
- Dimensionality Reduction
- Applied Machine Learning
- Skills section collapsed. Showing 9 of 14 skills.
Details to know
Shareable certificate
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Taught in English
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This course is available as part of
When you enroll in this course, you'll also be asked to select a specific program.
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- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
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Showing 3 of 18269
CA
Reviewed on Dec 31, 2019
RV
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.
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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