Carlos Saenz's repositories
snz-Flask-Elastic-Beanstalk
flask webapp CD aws elastikbeanstalk
Scaffold
project Scaffold for python cloud computing coursera
stock-visualizer
A Python application that visualizes stock data using professional candlestick charts.
mio-gurobi-machinelearning
Insert trained predictors in Gurobi models
API_XM
Este repositorio se crea con el fin de compartir herramientas de consulta para extraer información relevante del Mercado de Energía Mayorista colombiano
Gurobi-modeling-examples
Gurobi modeling examples
ETL-twiter
ETL using apache airflow to automate the extraction transformation and visualization of tweets which have specific word as investment, energy, etc
etl-spark
machine learning model using spark
tesis
optimal power flow con gurobi
IEG_Market
virtual biding
carlosaenz26
Config files for my GitHub profile.
bolsa-santiago
SDK de la API de la bolsa de Santiago.
fullstack-course4
Example code for HTML, CSS, and Javascript for Web Developers Coursera Course
pycomtrade
pyComtrade is a python module that provides you a transparent way for reading and writing oscillographic files in Comtrade format
stochastics-process
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.