This is the Windows app named scikit-learn-videos whose latest release can be downloaded as scikit-learn-videossourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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scikit-learn-videos
DESCRIPTION
scikit-learn-videos repository accompanies a video tutorial series designed to teach machine learning using Python’s scikit-learn library. It provides the Jupyter notebooks used in each lesson so learners can reproduce the demonstrations and experiment with the code themselves. The series introduces fundamental machine learning concepts such as classification, regression, model evaluation, feature engineering, and cross-validation using clear examples and real datasets. Each video corresponds to a notebook that walks through the code step by step, allowing students to see both the theoretical explanation and its practical implementation. The project emphasizes accessibility and beginner-friendly explanations, making it suitable for learners who are new to data science or machine learning programming. The tutorials collectively span several hours of instructional content and demonstrate how to build predictive models using Python tools commonly used in the data science ecosystem.
Features
- Interactive Jupyter notebooks accompanying a full machine learning video series
- Practical demonstrations using the Python scikit-learn library
- Step-by-step examples covering model training and evaluation
- Hands-on exercises with real datasets such as the Iris dataset
- Tutorials explaining cross-validation, feature selection, and model comparison
- Integration with Python data science tools including NumPy and pandas
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/scikit-learn-videos.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
