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RhinoHealth/user-resources
RhinoHealth/user-resources PublicRhino Health User Resources is a collection of resources designed to help developers quickly get started with using the Rhino Health Web Interface and the Python SDK.
Jupyter Notebook 7
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Machine_Learning--The_Easy_Way
Machine_Learning--The_Easy_Way PublicInteractive ML learning platform built with Flask, HTML/CSS, JavaScript, Bootstrap, and JSON — features quizzes, progress tracking, and responsive UI.
HTML
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Linear-Algebraic-Approaches-to-Neuroimaging-Data-Compression
Linear-Algebraic-Approaches-to-Neuroimaging-Data-Compression PublicA Comparative Analysis of Matrix and Tensor Decomposition Methods for High-Dimensional Medical Images.
Jupyter Notebook 1
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Data_Analyst_Career_Explorer-
Data_Analyst_Career_Explorer- PublicEnd-to-end SQL-based analysis of 2023’s data analyst job market—identifying top-paying roles, in-demand skills, and career growth strategies using PostgreSQL and real job posting data.
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AML_Project
AML_Project PublicSleep Quality Prediction Using ML – COMS W4995 Applied Machine Learning Final Project, Spring 2025. Built with Scikit-learn, XGBoost, SMOTE, GridSearchCV, Matplotlib, Seaborn, and Pandas. Models in…
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