sciblox - Easier Data Science and Machine Learning
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Updated
Jul 28, 2017 - HTML
sciblox - Easier Data Science and Machine Learning
Stefan's imputation accuracy package
Marker based imputation of MoCap data.
Investigate the reasons behind bankruptcy and attempt to identify early warning signs. Perform exploratory data analytics using pandas profiling and apply missing value treatments and oversampling
Apply unsupervised learning techniques to identify customers segments.
From QC to summary statistics
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
DSI Capstone Project
{shinymice} is an R package for interactive evaluation of incomplete data by Hanne Oberman, guided by Gerko Vink and Stef van Buuren.
MSc thesis 'Missing the Point: Non-Convergence in Iterative Imputation Algorithms' by Hanne Oberman
A highly scalable and accurate inference of gene expression and structure for single-cell transcriptomes using semi-supervised deep learning.
Example code for the handbook "Comparative effectiveness and personalized medicine using real-world data"
RADseq Data Exploration, Manipulation and Visualization using R
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