R package for automation of machine learning, forecasting, model evaluation, and model interpretation

Advanced High Performance Data Science Toolbox for R by Laurae

Probabilistic Learning for mlr3

A portable and fast single cell type identifier

Encode Categorical Features (unmaintained)

The Fashion-MNIST dataset and machine learning models.

This repo contains the code for my postgraduate thesis dealing with Short-term Load Forecasting, predicting the electric load demand per hour in Greece, developed in R, RStudio, R-markdown and R-Shiny using daily load datasets provided by the Greek Independent Power Transmission Operator (I.P.T.O.). A presentation of the thesis' results can be f…

Developing self learning robot

This is an initiative to help understand Statistical methods and Machine learning in a naive manner. You will find scripts, and theoretical contents required to clarify concepts, especially for bio-informatic students.

An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)

Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.

Portfolio of course work for my Master's in Data Science.

Solution for the Ultimate Student Hunt Challenge (1st place).

Simulating Supervised Learning Data

Machine Learning and Deep Learning Course

Automatically classify websites according to their legal characters

Solution for ENS - Societe Generale Challenge (1st place).

Protests and agitations have long used as means for showing dissident towards social, political and economic issues in civil societies. In recent years we have witnessed a large number of protests across various geographies. Not to be left behind by similar trends in the rest of the world, South Africa, in recent years have witnessed a large num…

Application d'exploration de données et apprentissage de modèles supervisés avec RShiny

Backtested trading strategies using ML for signals