metjush Goto Github PK

data

Data and code behind the stories and interactives at FiveThirtyEight

decision_tree

This repository is my implementation of a basic classification decision tree + a wrapper for bagged trees and random forests

dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

ekon_zurnal

ePub knihy Ekonomického žurnálu

envelopment-py

Data Envelopment Analysis implementation in Python

eprebels

Analyzing the most rebellious MEPs

gaussianmle

A basic implementation of a Maximum Likelihood Estimation of a multivariate Gaussian distribution

koridory

testovanie dostupnosti dialnic

mag_rozpocet_predikcia

Predikčný model pre rozpočet HMBA

metjush.github.io

panel_reg

Implementation of panel data regression (first differences, fixed effects) in python (numpy, pandas)

pydget

rissam_benchmark

Open data analysis of municipal budgets in Slovakia

simple_neural_net

This is a Python implementation of a simple vanilla neural network with one hidden layer. The purpose is to allow people to quickly try out a simple neural net without bothering with Tensor Flow or PyBrain

slackrnn

stata.filter

Filter function for Stata to temporary filter data sets

ubi_replication_dissertation

Replication data for dissertation on basic income

usgsd

Analyze Survey Data for Free with the R Language