Carlos Saenz's Projects
Este repositorio se crea con el fin de compartir herramientas de consulta para extraer información relevante del Mercado de Energía Mayorista colombiano
SDK de la API de la bolsa de Santiago.
Config files for my GitHub profile.
machine learning model using spark
ETL using apache airflow to automate the extraction transformation and visualization of tweets which have specific word as investment, energy, etc
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
Gurobi modeling examples
virtual biding
Material del curso de Métodos Computacionales de Uniandes
Insert trained predictors in Gurobi models
pyComtrade is a python module that provides you a transparent way for reading and writing oscillographic files in Comtrade format
Example power flow code in Python with Gurobi
project Scaffold for python cloud computing coursera
flask webapp CD aws elastikbeanstalk
In probability theory and related fields, a stochastic or random process is a mathematical object usually defined as a family of random variables. Stochastic processes are widely used as mathematical models of systems and phenomena that appear to vary in a random manner. They have applications in many disciplines including sciences such as biology, chemistry, ecology, neuroscience, and physics as well as technology and engineering fields such as image processing, signal processing, information theory computer science cryptography and telecommunications.
A Python application that visualizes stock data using professional candlestick charts.