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 Workforce Innovation Network (WIN) LLC
652,630 already enrolled
18,258 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
- Regression Analysis
- Model Evaluation
- Python Programming
- Applied Machine Learning
- Decision Tree Learning
- Supervised Learning
- Unsupervised Learning
- Predictive Modeling
- Machine Learning
- Scikit Learn (Machine Learning Library)
- Classification Algorithms
- Logistic Regression
- Dimensionality Reduction
- Skills section collapsed. Showing 9 of 14 skills.
Details to know
Shareable certificate
Add to your LinkedIn profile
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.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate from IBM
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Showing 3 of 18258
CA
Reviewed on Dec 31, 2019
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.
JL
Reviewed on Dec 5, 2018
I am happy to have this online education, I drop out my nuclear engineering degree, I am happy to learn practical things with future... I work for IBM also...but I want to become a data scientis
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