The Food Allergy Prediction System is a machine learning application designed to predict the likelihood of allergic reactions in individuals based on various clinical and demographic factors. This tool assists healthcare professionals in assessing allergy risks and making informed decisions about patient care.
This repo contains all the Python programs for your practice and better understanding.
📥 Download Ranobelib chapters as a single EPUB, effortlessly iterating through chapters while maintaining images and original headings.
Selenium-based Ranobelib → EPUB crawler: start from a chapter URL, auto-increment cN→cN+1 (preserve bid/ui), grab text and images, build a single EPUB.
一款基于 Streamlit 的火炬打造策略模拟器
Configurable multi-agent HR management system: recruitment, employee ops, and HR automation with LangGraph, CrewAI and Google ADK
This repository is a custom modified version of a Roop face-swapping notebook tailored for use with Google Colab. It includes a modified deepfake/face-swap notebook.
Arianna Method 3.1: SELF-AWARE HYPERTEXT. The New Kind Of Literature. // Dedicated to Leo.
Overall data analysis project from scraping data to converting it into a interactive Dashboard
10 Basic Python Programs for Beginners | Python Fundamentals, Logic Building & Problem Solving
Breast Cancer Classification using Machine Learning
AI-powered renewal risk prediction for Customer Success teams using machine learning and predictive analytics.
End-to-end HR analytics pipeline — Python (cleaning, feature engineering) → MySQL (star schema) → SQL (7 analytical queries) → Power BI (live dashboard). Tests common workforce assumptions against real data.
I'm making a few python based web apps just for a little challenge that doesn't require a massive time commitment.
Statistical analysis and mathematical foundations of data analytics using exploratory analysis, linear algebra, SVD, regression, and Bayesian inference.
Academic project: Heart disease data analysis
Leakage-free ML trading signal on S&P 500 constituents: per-ticker feature engineering, custom temporal cross-validation (10 folds, date-based splits), out-of-fold signal generation, and a long/short stock-picking backtest vs the index. Honest result: the process matters more than the PnL.
It’s a small dev tool that removes the annoying setup step before coding: one click opens the right terminals, paths, commands, and agent session.
Machine learning web application that predicts employee attrition risk using employee and job-related factors.
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