Sistema de seguimientos de tareas con estados, tipos, prioridad por máquina y/o activo

Anomaly Detection and prediction using Data analytics

Model Predictive Control MPC

🚗 Software concept for preparing and adjusting a vehicle on each road.

Python, Pyspark R Code High Performance class exercise

Project for the National Data Science contest "Datatón" 2014 organized by the Presidential Office in Mexico.

Linear regression is one of the easiest and most popular Machine Learning algorithms. It is a statistical method that is used for predictive analysis.

Churn Prediction for music streaming app with PySpark

Modeling and Prediction for Movies

Librería de control adaptativo predictivo para Arduino

🗺️ Software concept for predicting and mitigating future potholes in roadways.

The test set should be used to see how well your model performs on unseen data. For the test set, we do not provide the ground truth for each passenger. It is your job to predict these outcomes. For each passenger in the test set, use the model you trained to predict whether or not they survived the sinking of the Titanic.

A US bike-sharing company wants to find out at which time or season customers want to ride a bike.

Model to predict fraudulent bank applications using a large Kaggle dataset

1st place @ Predictive Analytics Hackathon, Hannover, 11.11.2017

This repository contains all files for Predictive Modeling in Biology and Medicine Conference at UCR, November 17-19, 2023.

Front-end for superphy/spfy. Support submission of analysis tasks