This is the Linux app named Machine Learning Beginner whose latest release can be downloaded as machine_learning_beginnersourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
Machine Learning Beginner
DESCRIPTION:
Machine Learning Beginner targets newcomers who are just getting started with machine learning and need a gentle, guided path. It introduces the core vocabulary and the mental map of supervised and unsupervised learning before moving into simple algorithms. The materials prioritize conceptual clarity, then progressively add code to solidify understanding. Step-by-step examples help learners see how data preparation, model training, evaluation, and iteration fit together. Because the scope is intentionally beginner-friendly, it’s an approachable springboard to more advanced resources. Educators also reference it as a compact toolkit for workshops and short intro courses.
Features
- Concept-first progression with simple, illustrative code
- Starter coverage of supervised and unsupervised learning
- Walkthroughs of data prep, training, and evaluation loops
- Lightweight projects suitable for first portfolios
- Emphasis on intuition and plain-language explanations
- On-ramp to more advanced ML and deep learning material
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/ml-beginner.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.