Octave for Machine Learning: Data Analysis Mastery
$49
ENROLL NOWCourse Overview
What You'll Learn
- This hands-on pathway builds practical machine learning capability using GNU Octave—the open-source MATLAB alternative—plus a focused module in R for classification.
- You’ll then apply supervised learning with logistic regression in R, covering preprocessing, evaluation (confusion matrix, ROC/AUC), and threshold decisions.
This hands-on pathway builds practical machine learning capability using GNU Octave—the open-source MATLAB alternative—plus a focused module in R for classification. Across four Octave courses you’ll progress from installation and core matrix operations to data wrangling, visualization (2D/3D, mesh, annotated plots), control structures, reusable functions, and time-series handling. You’ll then apply supervised learning with logistic regression in R, covering preprocessing, evaluation (confusion matrix, ROC/AUC), and threshold decisions. Graduates leave ready to prototype ML workflows and analyze real datasets efficiently for data science and analytics roles.
Course FAQs
Is this an accredited online course?
Accreditation for 'Octave for Machine Learning: Data Analysis Mastery' is determined by the provider, EDUCBA. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Octave for Machine Learning: Data Analysis Mastery' on the EDUCBA online class platform, where you can complete your registration.
