Projects with this topic
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ZigStr - A comprehensive Unicode string library for Zig with SSO, full Unicode normalization (NFC/NFD/NFKC/NFKD), text segmentation, collation, regex, fuzzy matching, and support for legacy encodings (CJK, Windows code pages, ISO-8859)
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These Python scripts and batch files stand alone for One Shot Color (OSC) narrowband data captures, but they can also be used in conjunction with my Siril Seestar Narrowband Extraction Scripts to produce a SHO (Hubble Pallet) master image file from narrowband astronomy data. The Align script is mandatory, but most users will also want the other scripts as well to complete the full SHO workflow. Both the Multiscale, and the SHO APOD scripts have user adjustable parameters that can be tweaked from object to object... Also included are two renaming scripts, and a way to archive your completed project with a SHA256 manifest. Clear skies!
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This is a study project built using FastAPI to practice microservice architecture, data normalization techniques, and clean API design.
The service receives raw payloads from different simulated sources and transforms them into a standardized and validated structure.
It centralizes normalization logic and demonstrates how to build a scalable, maintainable, and test-friendly data processing layer.
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Several tools for audio manipulation
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Python package to normalize text for speech-language models using different libraries.
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An Open Educational Resource (OER) to refresh prior knowledge about functional dependencies (FDs) and normalization of relational database schemata.
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Multiple Regression is almost like Simple Linear Regression, but with more than a single independent feature, which means we try to predict a value based on more than one variable.
check this project article on medium: https://medium.com/@alhendyrenad/build-a-multiple-linear-regression-model-using-python-c4d9f9cf4cc7
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Grocery shopping app
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This is a Collaborative-Based Movie Recommendation System developed using methods of weighted_average and Normalization(MinMaxScaling()) of Average Rating and Popularity values.
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Forward-slash normalization of function results via composition
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