jaakko-paavola Goto Github PK

a-little-software-engineering-project-in-java

Planet Wars: A space flying game where you race against the clock trying to conquer and destroy planets.

aux

classification-of-bbc-articles-in-r

Different machine learning methods for classifying articles in a dataset of BBC articles from 2004-2005

d3

Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:

datascience

Curated list of Python resources for data science.

datasharing

The Leek group guide to data sharing

feature-selector

Feature selector is a tool for dimensionality reduction of machine learning datasets

forward-looking-model-of-the-us-economy

glot500

Glot500: Scaling Multilingual Corpora and Language Models to 500 Languages (ACL 2023)

household-expenditure-prediction-with-python

The code related to my M.Sc. Data Science thesis at the University of Helsinki.

infected-vs-healthy-sweetpotato-image-classification

Image processing and computer vision approaches to split and classify images of infected sweetpotato plants

lastancientone

My personal repository

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

massive-matrix-multiplication-with-spark

PySpark code that calculates A x A^T x A distributed in a computing cluster.

notebooks

Trading Economics Python Jupyter Notebooks showcase how everyone can make insights and data science. Trading Economics has more than 20 million indicators from 196 countries plus historical, delayed and live quotes for exchange rates, stocks, indexes, bonds and commodity prices

ohtu-2019-viikko1

ohtu-mini

ohtu-viikkopalautukset

otmtodoapp

Ohjelmistotekniika, referenssisovellus

test-webpage

tikape-harkka2

time-series-forecasting-ensemble-with-r

Read in a time series and fit in it: 1) seasonal regression, 2) seasonal regression + trend, 3) ARIMA, 4) ARIMA with Box-Cox transformation, 5) Holt-Winters multiplicative, 6) Holt-Winters additive, 7) ETS, and 8) TBATS. Use the best model in evaluation against a test set for predicting the value at each "truly out-of-sample" time step.

udacity-machine-learning

yield-curve-fitting-using-quantlib

Yield curve fitting with PiecewiseLogCubicDiscount, PiecewiseLinearZero, PiecewiseCubicZero, Nelson-Siegel, and Nelson-Siegel-Svensson using QuantLib