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abce

Agent-based computational Economics, the Python library that makes AB modelling easier

ann-for-macroeconomic-data-analysis

The analysis and prediction of macroeconomic time-series is a factor of great interest to national policymakers. However, economic analysis and forecasting are not simple tasks due to the lack of a precise model for the economy and the influence of external factors, such as weather changes or political decisions. Our research is focused on Spanish speaking countries. In this thesis, we study different types of neural networks and their applicability for various analysis tasks, including GDP prediction as well as assessing major trends in the development of the countries. The studied models include multilayered neural networks, recursive neural networks, and Kohonen maps. Historical macroeconomic data across 17 Spanish speaking countries, together with France and Germany, over the time period of 1980-2015 is analyzed. This work then compares the performances of various algorithms for training neural networks, and demonstrates the revealed changes in the state of the countries’ economies. Further, we provide possible reasons that explain the found trends in the data.

aprendizagemrefor-o

Reinforcement learning classes/Mathematics Institute Program(UBA)

childhood_bll_model

model meant to predict the risk of elevated childhood blood lead levels at a geographically aggregated scale

cienciadatos

alguna clase de la escuela de verano de ciencia de datos

claseprogramaci-n

ejercicios python y r

clasetecnolog-a

material utilizado en clase de nuevas tecnologías

claseviviendapublic

material desarrollado en clase de economía de la vivienda

covid-bokeh

Tutorial de como visualizar datos de COVID19 en Bokeh

covid_19_risk

Utilizing trajectories to find risk of geographical areas being infected by COVID-19 (PostgreSQL/PostGIS approach)

data-envelopment-analysis-tutorial

NCKU Operations Research Applications course - GitHub Writings

dataglacierinternship

Repository created during Data Glacier internship

dea

Implementation of VRS and CRS models of Data Envelopment Analysis, as well as robust DEA

deep-learning-ann-churn-modeling

ANN Geographic Segmentation Model to tell which of the customers are at highest risk of leaving

deeplearningua

material desarrollado en el curso de deep learning de la UA

develop-three-layer-artificial-neural-network-for-pattern-data-set

UCLA Master of Applied Economics Econ 413 Assignment

ease-of-doing-business

Machine Learning based AI to determine ease of doing business in various countries

esl

​The Economic Simulation Library provides an extensive collection of tools to develop, test, analyse and calibrate economic and financial agent-based models. The library is designed to take advantage of different computer architectures. In order to facilitate rapid iteration during model development the library can use parallel computation. Economic models developed using the library can be deployed into large-scale distributed computing environments when working with large model instances and datasets and provides routines to set up large-scale sampling computations during the analysis and calibration process.

estad-sticaii

redes neuronales en R

examples

Repos for examples of abcEconomics simulations that can be extended from

googledatastudio

Repo for html hosting (embed data studio)

herhackaton

intelligencetrade

Cluster + xboost for market selection

itradeii

clustering plus xboost

meccd

mlutils

moondi

algunos códigos abiertos de moondi

moondiprototypes

moondiscraper

scraper winemag to csv

msroboticaaprendizagem

repositorio de las clases de aprendizaje automático del máster de robótica- ejercicios de clases