Analysis of customer Lifetime Value from transaction level data. This analysis helps in targeted marketing by identification of high value customers
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Updated
Jan 19, 2018 - R
Analysis of customer Lifetime Value from transaction level data. This analysis helps in targeted marketing by identification of high value customers
R Package for preprocessing, normalizing, and analyzing proteomics data
This repository contains different scenarios and its solutions with R programming.
In this project i trained a machine learning model from basketball team scores to predict the next games. I used Rstudio (R) to get the results. Alongside is some documentation of functions in slovenian
This code shows how to compute the measures of multi-label classification hand in hand.
Alternativní rozhraní knihovny evaluací ESI fondů
Materials for training workshop at the 2021 Czech Evaluation Society Annual Conference. 8 June 2021
The standard pipeline of definiting a simulation method, estimating parameters from datasets, simulating and evaluating datasets.
Hotspot analysis and stability metrics
minCombinR User Study Project Template
The program written on R shiny language is intended for Therapeutic drug monitoring centers worldwide.
Slides and Practicals for the BIDD modelling short course
"Evaluation procedures for forecasting with spatio-temporal data" -- Mathematics (MDPI) 2021
Rolling Entry Matching R Package
"Evaluation procedures for forecasting with spatio-temporal data" -- ECML 2018
Libra, a forecasting benchmark, automatically evaluates and ranks forecasting methods based on their performance in a diverse set of evaluation scenarios. The benchmark comprises four different use cases, each covering 100 heterogeneous time series taken from different domains.
an R package for testing, estimating and evaluating the Panel Smooth Transition Regression (PSTR) model.
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