Octave for Machine Learning: Data Analysis Mastery
By Coursera
on Coursera
· Data Science
About This Course
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.
Instructor
EDUCBA
Frequently Asked Questions
How much does Octave for Machine Learning: Data Analysis Mastery cost?
Octave for Machine Learning: Data Analysis Mastery costs $49. Check the course page for current pricing and available discounts.
Who teaches Octave for Machine Learning: Data Analysis Mastery?
Octave for Machine Learning: Data Analysis Mastery is taught by EDUCBA, EDUCBA.
What skill level is Octave for Machine Learning: Data Analysis Mastery for?
This course is designed for all levels learners.