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3 Key Encoding Techniques for Machine Learning: A Beginner-Friendly Guide with Pros, Cons, and Python Code Examples | by Ryu Sonoda | Feb, 2024

How should we choose between label, one-hot, and target encoding? 15 min read · 16 hours ago Why Do We Need Encoding? In the realm of machine learning, most algorithms demand inputs in numeric form, especially in many popular Python frameworks. For instance, in scikit-learn, linear regression, and neural networks require numerical…

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How to Create Synthetic Data. Go from Nothing to a Complete Dataframe… | by Kurt Klingensmith | Feb, 2024

Go from nothing to a complete dataframe with Python Photo by Joshua Sortino on Unsplash.After submitting a recent article to Towards Data Science’s editorial team, I received a message back with a simple inquiry: are the datasets licensed for commercial use? It was a great question — the datasets in my draft came from Seaborn,…

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Nine Rules for Accessing Cloud Files from Your Rust Code | by Carl M. Kadie | Feb, 2024

Practical lessons from upgrading Bed-Reader, a bioinformatics library Rust and Python reading DNA data directly from the cloud — Source: https://openai.com/dall-e-2/. All other figures from the author.Would you like your Rust program to seamlessly access data from files in the cloud? When I refer to “files in the cloud,” I mean data housed on web…

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