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lukesingham.com
| | isaacslavitt.com
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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
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| | A library consisting of useful tools and extensions for the day-to-day data science tasks.
| | teddykoker.com
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| | A few posts back I wrote about a common parameter optimization method known as Gradient Ascent. In this post we will see how a similar method can be used to create a model that can classify data. This time, instead of using gradient ascent to maximize a reward function, we will use gradient descent to minimize a cost function. Lets start by importing all the libraries we need:
| | github.community
20.7 parsecs away

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