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# datascience | ||
Template for data science projects (R-based) which includes a few useful utilities. | ||
# Common R functions for data science | ||
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This project contains several useful stuffs for doing data science with R. | ||
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What you can find (under `src/util` directory): | ||
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- List of frequently used R packages (in `R_package_install_file.R`) | ||
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- Interactions with AWS S3 and Redshift using PostgreSQL (in `redshift_s3.R`) | ||
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- Statistical tests (in `tests.R`) | ||
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- Training of regression and classification models with hyperparameters optimisation via gridsearch and the caret package (in `train-classifiers.R` and `train-regressors.R`) | ||
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- Common plots for evaluating a binary classification model (in `validate.R`) | ||
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- Example of doing forecasting (in `forecast.Rmd`) | ||
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- Example of creating notebook with R markdown (in `forecast.Rmd`) | ||
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