leofrota Goto Github PK

aialpha

Use unsupervised and supervised learning to predict stocks

ambientemacro

Ferramentas pedagógicas para a disciplina de Ambiente Macroeconomico Puc-PR

atlasagropecuario

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

competitivo

congressbr

An R package that returns tidy data from the APIs of the Brazilian Federal Senate and Chamber of Deputies.

controlesintetico

creditriskpaper

Codes for replication and implementation of techniques in our credit risk article

crime

crime

data-analysis

Data Science Using Python

datasciencecoursera

datasharing

The Leek group guide to data sharing

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

econometricswithr

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

equity-portfolio-prediction

facets

Visualizations for machine learning datasets

finance

Shiny App for Capital Structure in IBOVESPA

finmarketpy

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

geobr

Easy access to shapefiles of the Brazilian Institute of Geography and Statistics (IBGE)

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

grf

Generalized Random Forests

h3

Hexagonal hierarchical geospatial indexing system

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

intro_python

Material Para Introdução a Python

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

keras-apache-mxnet

Amazon Deep Learning's Keras with Apache MXNet support

linearmodels

Linear models including instrumental variable estimators and panel data models