naman14310/Machine_Learning
Best collection of machine learning & deep learning algorithms implemented from scratch using python.
This collection of Python code provides ready-to-use examples for various machine learning and deep learning tasks. It helps data scientists and machine learning engineers understand how different algorithms work by providing implementations from scratch. You can input various datasets, such as images, text, or tabular data, and receive models for classification, regression, clustering, and more, enabling you to build predictive and analytical systems.
No commits in the last 6 months.
Use this if you are a data scientist or machine learning engineer looking for foundational code to understand or implement common algorithms from scratch, or to use as a starting point for your own projects.
Not ideal if you are an end-user without programming knowledge, or if you need a high-level library for production deployment without delving into algorithm internals.
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2
Language
Jupyter Notebook
License
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Last pushed
May 25, 2022
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