ramdom-forest

End-to-end football intelligence pipeline for FIFA World Cup 2026 — medallion lakehouse, dbt, Airflow, Random Forest predictor & live Streamlit dashboard.

Sistema predictivo de saturación en urgencias hospitalarias con 3 horizontes (+1h, +3h, +6h) — Random Forest, Streamlit, datos reales

AI-powered system to predict metro interstate traffic volume using historical traffic and weather data. Features include time-based and weather-based inputs, Random Forest regression, interactive Streamlit app, and model persistence for easy deployment and real-time predictions.

Web application using Flask and Machine Learning to predict industrial compressor performance (OCP Group). Features Excel data analysis.

Automatic modulation classification from I/Q signals using signal processing, physical feature engineering and classical machine learning.

This repository contains a Jupyter notebook that predicts whether Nvidia's stock price will increase or decrease tomorrow. The project leverages machine learning models, specifically a Random Forest Classifier, to make predictions based on today’s stock data.

A smart question tagging and matching system using traditional ML and NLP. It finds similar questions, tags them, and groups related ones to reduce duplicates. Built with TF-IDF, cosine similarity , KMeans & XgBoost, GBDT,Logistic Regression for fast, scalable, and real-world use.

Machine learning classification of breast tumors using Logistic Regression, Decision Tree, Random Forest, and XGBoost.

Este proyecto desarrolla un modelo de clasificación binaria cuyo objetivo es estimar la probabilidad de que un cliente realice al menos un pago, a partir de información financiera y comportamental consolidada a nivel cliente.

End-to-end machine learning solution to predict insurance premiums based on customer demographics and policy details. Includes data preprocessing, regression modeling, ML pipelines, experiment tracking with MLflow, and real-time prediction app deployment using Streamlit.