R package for automation of machine learning, forecasting, model evaluation, and model interpretation
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Updated
Oct 11, 2025 - R
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…
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.
Portfolio of course work for my Master's in Data Science.
Workshop (2-6 hours): cleaning, missing value imputation, EDA, ensemble learning, calibration, variable importance ranking, accumulated local effect plots. WIP.
Developing self learning robot
An R package for Multi-Label Prediction Using Gibbs Sampling (and Classifier Chains)
Application d'exploration de données et apprentissage de modèles supervisés avec RShiny
This app is intended to dynamically integrate machine learning techniques to explore multivariate data sets.
Simulating Supervised Learning Data
Solution for the Ultimate Student Hunt Challenge (1st place).
Machine Learning and Deep Learning Course
Automatically classify websites according to their legal characters
Solution for ENS - Societe Generale Challenge (1st place).
Build a predictive model for the sale prices of homes in a city and explore potential equity issues with the real-estate assessment process
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