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Octave for Machine Learning: Data Analysis Mastery

Name: Octave for Machine Learning: Data Analysis Mastery
Price: 49 USD
Availability: InStock

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.

67/100

CourseAsk score

What the provider tells you: 31/45
Who stands behind it: 20/35
How complete the listing is: 16/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

What you'll learn

installation of GNU Octave
core matrix operations
data wrangling techniques
2D/3D data visualization
control structures in programming
creating reusable functions
handling time-series data
logistic regression using R
data preprocessing
evaluating models with confusion matrix and ROC/AUC

Course objectives

to build practical skills in machine learning
to enable proficiency in data analysis using Octave and R
to prepare learners for data science and analytics roles

Machine Learning #machine learning #data visualization #model evaluation #data wrangling #r programming #supervised learning #logistic regression #MATLAB #gnu octave #time series

$49.00

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