Sistema de seguimientos de tareas con estados, tipos, prioridad por máquina y/o activo
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Updated
Feb 19, 2024 - HTML
Sistema de seguimientos de tareas con estados, tipos, prioridad por máquina y/o activo
In the competitive landscape of ride-hailing services, strategic fare pricing is critical for business success and customer satisfaction. This project taps into the potential of data science to create a predictive model for taxi fares, empowering ride-sharing companies to optimize their pricing models dynamically.
Building age prediction with Computer Vision and images from Google Street View.
Model Predictive Control MPC
🚗 Software concept for preparing and adjusting a vehicle on each road.
Uncertainty Quantification Methods In Predictive Machine Learning Models
TensorDL-MPC is a software toolkit developed based on the Python and TensorFlow frameworks, designed to enhance the performance of traditional Model Predictive Control (MPC) through deep learning technology. This toolkit provides core functionalities such as model training, simulation testing, parameter optimization, and predictive control.
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.
Model to predict fraudulent bank applications using a large Kaggle dataset
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.
Swarm based neural network for regression
model predictive control for a linear system
1st place @ Predictive Analytics Hackathon, Hannover, 11.11.2017
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