machine-learning in Python
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machine learning support vector machine (SVMs), and support vector regression (SVRs) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used for classification and regression analysis.
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machine-learning in Python Reviews
Komal A.
Data science || SAS || Machine learning || R || Analytics || SQLPandas With Pyton
Mikhail I.
Director - Software Engineering - OracleDirector of Engineering - Oracle
Kunal M.
Python Developer/ Research analystMy review on machine learning with python
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What is machine-learning in Python?
The repository "machine-learning" by jeff1evesque on GitHub provides a comprehensive solution for implementing machine learning algorithms in Python. This project offers a robust framework designed to facilitate the development of machine learning models, emphasizing ease of use and scalability. It likely includes various utilities and pre-built components to assist users in creating and training models, handling data preprocessing, evaluation, and optimization tasks. As an open-source project, it encourages collaboration and contributions from developers and researchers interested in enhancing or extending its functionality. You can access the repository and its resources at https://github.com/jeff1evesque/machine-learning.
