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connorboyle.io | ||
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data36.com
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| | | | | Learn data science and machine learning in Python, pandas and scikit learn! This is a free series of 20 in-depth tutorial articles. | |
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lukesingham.com
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| | | | | This post goes through a binary classification problem with Python's machine learning library scikit-learn. | |
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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. | |
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sausheong.github.io
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| | | I have written a lot of computer programs in my career, most of the time to solve various problems or perform some tasks (or sometimes just for fun). For most part, other than bugs, as long as I tell the computer what to do very clearly (in whichever the programming language I use) it will obediently follow my instructions. This is because computer programs are really good at executing algorithms - instructions that follow defined steps and patterns that are precise and often repetitious. | ||
