Population Assignment using Genetic, Non-genetic or Integrated Data in a Machine-learning Framework. Methods in Ecology and Evolution. 2018;9:439–446.

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r machine-learning cross-validation data-integration population-genomics gbs radseq population-assignment

MNIST

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

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PHP machine-learning tutorial deep-neural-networks computer-vision deep-learning neural-network pipeline cross-validation mnist mnist-dataset image-classification image-recognition php-ml mnist-handwriting-recognition php-ai machine-learning-tutorial rubix-ml php-machine-learning

san

Spatial Modelling for Data Scientists

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Jupyter Notebook TeX data-science book maps cross-validation spatial-analysis multilevel-models r-spatial geographically-weighted-regression spatial-econometrics moran-i

mlr3spatiotempcv

Spatiotemporal resampling methods for mlr3

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r TeX cross-validation spatial resampling r-package temporal resampling-methods mlr3

introduction-to-machine-learning

A document covering machine learning basics. 🤖📊

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r Jupyter Notebook TeX machine-learning neural-network random-forest svm cross-validation regularization knn loss-functions bias-variance

sklearndf

DataFrame support for scikit-learn.

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python Jupyter Notebook data-science machine-learning pandas-dataframe cross-validation model-selection hyper-parameter-tuning feature-traceability

glmnetUtils

Utilities for glmnet

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r cross-validation glmnet regression-models

3D-UNet-PyTorch-Implementation

The implementation of 3D-UNet using PyTorch

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python cross-validation pytorch unet semantic-segmentation volumetric-data 3d-segmentation pytorch-implementation 3d-unet

cvAUC

Computationally efficient confidence intervals for cross-validated AUC estimates in R

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r machine-learning statistics cross-validation confidence-intervals auc variance

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