- Multiple Linear Regression Using Gradient Descent https://scikit-learn.org/stable/modules/linear_model.html#ordinary-least-squares 9 comments learnmachinelearning
- How Python's scikit-learn defines logistic regression https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression 8 comments statistics
Linking pages
- data-science-interviews/theory.md at master · alexeygrigorev/data-science-interviews · GitHub https://github.com/alexeygrigorev/data-science-interviews/blob/master/theory.md 26 comments
- GitHub - justmarkham/DAT8: General Assembly's 2015 Data Science course in Washington, DC https://github.com/justmarkham/DAT8 14 comments
- Data science with Python: 8 ways to do linear regression and measure their speed https://medium.freecodecamp.org/data-science-with-python-8-ways-to-do-linear-regression-and-measure-their-speed-b5577d75f8b 7 comments
- Privacy-preserving insurance quotes | by Zama | Zama | Medium https://medium.com/zama-ai/privacy-preserving-insurance-quotes-356b9719b760 2 comments
- GitHub - jphall663/awesome-machine-learning-interpretability: A curated list of awesome machine learning interpretability resources. https://github.com/jphall663/awesome-machine-learning-interpretability 0 comments
- Modern Machine Learning Algorithms: Strengths and Weaknesses https://elitedatascience.com/machine-learning-algorithms 0 comments
- Don’t Sweat the Solver Stuff. Tips for Better Logistic Regression… | by Jeff Hale | Towards Data Science https://towardsdatascience.com/dont-sweat-the-solver-stuff-aea7cddc3451?sk=6cab311ddbae8ab168c9e347ae1bc707&source=friends_link 0 comments
- GitHub - Huangtuzhi/AlibabaRecommand: Alibaba 2015 mobile recommending algorithm competition. https://github.com/Huangtuzhi/AlibabaRecommand 0 comments
- How to Speed up Scikit-Learn Model Training | by Michael Galarnyk | Medium https://medium.com/distributed-computing-with-ray/how-to-speed-up-scikit-learn-model-training-aaf17e2d1e1 0 comments
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