By the end of this course, learners will be able to install Octave, perform matrix operations, manipulate strings, process data, apply symbolic mathematics, and visualize statistical patterns for machine learning tasks. Designed for beginners, this program builds step-by-step expertise in Octave, starting from installation and basic operations to advanced applications in symbolic math and data visualization.
Octave for Machine Learning: Analyze & Visualize
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Octave for Machine Learning: Analyze & Visualize
This course is part of Octave for Machine Learning: Data Analysis Mastery Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
6 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Install Octave and perform matrix, string, and data operations.
Apply symbolic math and statistical methods for analysis.
Visualize datasets with plots, mesh grids, and annotations.
Skills you'll gain
Details to know
Shareable certificate
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Recently updated!
September 2025
Assessments
12 assignments
Taught in English
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This course is part of the Octave for Machine Learning: Data Analysis Mastery Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 3 modules in this course
This module introduces learners to GNU Octave, its installation process, and fundamental matrix operations. Students will explore Octave’s interface, understand its role in machine learning, and practice essential matrix manipulations such as creation, subsetting, and inversion. The foundation gained here ensures readiness for advanced operations.
What's included
9 videos4 assignments1 plugin
This module focuses on string manipulation, text processing, and efficient data handling in Octave. Learners will gain hands-on experience with string functions, text analytics, and data structures including cell arrays and logical operators, which are vital for structured data analysis and preprocessing.
What's included
10 videos4 assignments
This module applies Octave to symbolic mathematics, advanced calculus, and polynomial computations. It also introduces learners to powerful visualization techniques, including multiple plots, mesh grids, annotations, and statistical analysis tools for skewness, kurtosis, and univariate analysis.
What's included
13 videos4 assignments
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