Blog Archives

Custom errors for cross-validation using crossval::crossval_ml

May 7, 2020
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Custom errors for cross-validation using crossval::crossval_ml

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Encoding your categorical variables based on the response variable and correlations

April 23, 2020
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Encoding your categorical variables based on the response variable and correlations

A target-based categorical encoder for Statistical/Machine Learning (based on correlations)

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Linear model, xgboost and randomForest cross-validation using crossval::crossval_ml

April 16, 2020
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Linear model, xgboost and randomForest cross-validation using crossval::crossval_ml

linear model, xgboost and randomForest cross-validation using crossval::crossval_ml

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Grid search cross-validation using crossval

April 9, 2020
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Grid search cross-validation using crossval

Cross-validation using a grid of hyperparameters and R package crossval

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Time series cross-validation using crossval

March 26, 2020
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Time series cross-validation using crossval

Time series cross-validation using crossval

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On model specification, identification, degrees of freedom and regularization

March 19, 2020
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On model specification, identification, degrees of freedom and regularization

On model specification, identification, degrees of freedom and regularization

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R notebooks for nnetsauce

March 5, 2020
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R notebooks for nnetsauce

R notebooks for nnetsauce, a general purpose tool for Statistical/Machine Learning

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Version 0.4.0 of nnetsauce, with fruits and breast cancer classification

February 27, 2020
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Version 0.4.0 of nnetsauce, with fruits and breast cancer classification

Version 0.4.0 of nnetsauce, with fruits and breast cancer classification

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Feedback forms for contributing

February 6, 2020
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Feedback forms for those who are not using Version Control yet

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nnetsauce for R

January 30, 2020
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nnetsauce for R

nnetsauce for R

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