ParhamPishro/Some-of-Algorithms-in-Data-Science
Data Science Algorithms | الگوریتم های علوم داده
This collection provides foundational algorithms for anyone working with data to extract insights, make predictions, or simplify complex datasets. It covers techniques to clean and prepare your raw data, reduce the number of variables to focus on key patterns, group similar items together, and classify new data points based on learned patterns. Data scientists, analysts, and researchers who need a comprehensive toolkit for common machine learning tasks would find this useful.
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Use this if you are learning or implementing fundamental data science techniques like classification, clustering, or dimensionality reduction on various datasets.
Not ideal if you need highly specialized, cutting-edge research algorithms or a production-ready, highly optimized library with extensive framework integrations.
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Jupyter Notebook
License
MIT
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Last pushed
Jan 26, 2023
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