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 lukesingham.com
Binary Classification in Python - Who's Going to Leave Next?
| | isaacslavitt.com
Isaac Slavitt: My talk on scikit-learn at Statistical Programming DC
1.1 parsecs away

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| | [AI summary] The provided text is a detailed tutorial on using scikit-learn for machine learning tasks, including data preprocessing, model selection, cross-validation, and pipeline creation. It also touches on integrating R and Julia with Python through Jupyter notebooks.
| | rasbt.github.io
mlxtend
3.4 parsecs away

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| | A library consisting of useful tools and extensions for the day-to-day data science tasks.
| | sebastianraschka.com
Predictive modeling, supervised machine learning, and pattern classification
1.9 parsecs away

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| | I'm Sebastian: a machine learning & AI researcher, programmer, and author. As Staff Research Engineer Lightning AI, I focus on the intersection of AI research, software development, and large language models (LLMs).
| | igorstechnoclub.com
Week 5 in Data Science: Image recognition neural network with 90% accuracy - a trivial task | Igor's Techno Club
6.8 parsecs away

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| This week I learned something that finally made "transfer learning" click. I had always heard that you can hit strong accuracy fast by reusing a pretrain...