Popular GitHub Repositories for Interquartile Ranges

Build a machine learning model to predict weekly sales with 97.4% accuracy. Integrated Exploratory Data Analysis tools to analyze trends, patterns, and actionable insights. The solution enables detailed sales comparisons, evaluates feature impacts and ranges, and identifies top performers, greatly enhancing decision-making in the retail industries.

Data Mining and Machine Learning APS Failure at Scania Trucks Data Set.

This repository offers the ResumeWorth app, aimed at helping individuals find their true market value through AI-powered analysis of their resumes. It combines advanced AI with market data to provide personalized salary ranges, job matches, and resume-job match explanation, ensuring users can optimize their earnings potential.

A cross-platform, very fast substitute for C++ std::vector with interface like std::ranges

A Flask-based web application to forecast wind turbine renewable energy generation using time-series feature engineering and a pre-trained XGBoost model. Users can input custom date ranges and visualize future energy predictions through dynamic Matplotlib plots.

A Flask-based web application to forecast wind turbine renewable energy generation using time-series feature engineering and a pre-trained XGBoost model. Users can input custom date ranges and visualize future energy predictions through dynamic Matplotlib plots.