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One Point System Solution To ML Problems: A Unified Web-Based Framework For End-to-End Machine Learning Lifecycle Management by International Journal of Innovative Science and Research Technology is a document available to read on EtoBox.

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The document presents the One Point System Solution to ML Problems (OPSS-ML), a unified web-based framework designed for end-to-end machine learning lifecycle management. Built on Django, HTML, and MySQL, it automates critical stages such as data preprocessing, model training, and evaluation, supporting three supervised learning algorithms: Linear Regression, Logistic Regression, and KNN Classifier. The framework aims to enhance accessibility and reproducibility in machine learning by providing a single int

Author

International Journal of Innovative Science and Research Technology

Language

EN