Practical Statistics for Data Scientists:
50+ Essential Concepts Using R and Python
by Peter Bruce, Andrew Bruce, and Peter Gedeck
- Publisher: O'Reilly Media; 2 edition (June 9, 2020)
- ISBN-13: 978-1492072942
- Buy on Amazon
- Errata: http://oreilly.com/catalog/errata.csp?isbn=9781492072942
View the notebooks online:
Excecute the notebooks in Binder:
This can take some time if the binder environment needs to be rebuilt.
Run the following commands in R to install all required packages
if (!require(vioplot)) install.packages('vioplot')
if (!require(corrplot)) install.packages('corrplot')
if (!require(gmodels)) install.packages('gmodels')
if (!require(matrixStats)) install.packages('matrixStats')
if (!require(lmPerm)) install.packages('lmPerm')
if (!require(pwr)) install.packages('pwr')
if (!require(FNN)) install.packages('FNN')
if (!require(klaR)) install.packages('klaR')
if (!require(DMwR)) install.packages('DMwR')
if (!require(xgboost)) install.packages('xgboost')
if (!require(ellipse)) install.packages('ellipse')
if (!require(mclust)) install.packages('mclust')
if (!require(ca)) install.packages('ca')
We recommend to use a conda environment to run the Python code.
conda create -n sfds python
conda activate sfds
conda env update -n sfds -f environment.yml
- O'Reilly: https://oreil.ly/practicalStats_dataSci_2e
- Errata: http://oreilly.com/catalog/errata.csp?isbn=9781492072942
- The code repository for the first edition is at: https://github.com/andrewgbruce/statistics-for-data-scientists
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