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aid_statistics_neural_network

We use a neural network to map key words in development aid project descriptions to policy objectives. What we want to do is to predict whether a development aid contribution has a certain policy objective e.g. gender equality based on its description. A description of this project can be found on my blog.

crs_se_mfa_support

da3018_vt22_repo

datalogi_matematiker_projekt

github-demo

A simple demo repository to show the basic Git windows

hub-to-hub

Webapp that lets you compare github users' stats with beautiful graphs. Built on React and Rechart.

machine_learning_examples

A collection of machine learning examples and tutorials.

neural_network_arima_identification

We simulate time series data from an ARIMA model and use a neural netowrk to correctly predict the the model

oda_bayes_classifier

we use artificial intelligence, in the form of a Bayes classifier, to guess the policy objectives of ODA contributions based on their project descriptions. In total we analyze 396 000 different contributions by 29 countries from 2015-2017. Motivation for doing so is to explore the possibility of mechanically filling in (preliminary) the statistical parameters and also to facilitate quality assurance by flagging contributions which seem miss-classified based on their descriptions.

react-complete-guide-code

Code snapshots and materials for our "React - The Complete Guide" course (https://acad.link/reactjs)

starter-web

Simple starting point website project based upon Initializr

time_series_simulation

Simulate an ARIMA time series model using Python