misacodes Goto Github PK

1_networks_godfather

This project is 1 of 8 in my mini-series on social network analysis. The goal of this series is to start with the very basics of network analysis, such as with the concepts of centrality and assortativity, and progress towards more advanced topics, including Erdős-Rényi and Configuration models, as well as Exponential family random graphs.

2_networks_medici

This project is 2 of 8 in my mini-series on social network analysis. The goal of this series is to start with the very basics of network analysis, such as with the concepts of centrality and assortativity, and progress towards more advanced topics, including Erdős-Rényi and Configuration models, as well as Exponential family random graphs.

3_networks_wiremen

This project is 3 of 8 in my mini-series on social network analysis. The goal of this series is to start with the very basics of network analysis, such as with the concepts of centrality and assortativity, and progress towards more advanced topics, including Erdős-Rényi and Configuration models, as well as Exponential family random graphs.

4_networks_rural

This project is 4 of 8 in my mini-series on social network analysis. The goal of this series is to start with the very basics of network analysis, such as with the concepts of centrality and assortativity, and progress towards more advanced topics, including Erdős-Rényi and Configuration models, as well as Exponential family random graphs.

5_networks_karate

This project is 5 of 8 in my mini-series on social network analysis. The goal of this series is to start with the very basics of network analysis, such as with the concepts of centrality and assortativity, and progress towards more advanced topics, including Erdős-Rényi and Configuration models, as well as Exponential family random graphs.

analyza_zadluzenosti

dissertation_twitter_sp500

This repo contains the most important snippets of my masters thesis on the predictive power of Twitter emotions in the early months of the Covid-19 global health emergency

evolution_of_offshore_wealth

This repo contains a dataset of offshore deposits and R code for the analysis of offshore wealth among V4 residents between years 2001 and 2015.

misacodes

Config files for my GitHub profile.

ml_basics

This repo loosely follows the code of Introduction to Machine Learning with Python: A Guide for Data Scientists by Andreas C. Müller and Sarah Guido, with a slightly different structure and more expanded texts. All credit goes to the textbook authors.

odbc_mssql

Scripts to connect Python and R with MSSQL using ODBC

speculative_bubbles_in_ethereum

This repo contains a compiled dataset of Ethereum prices and R code for the detection of speculative bubbles using backward supremum augmented Dickey-Fuller procedure.