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Practical Statistics for Data Scientists:
50+ Essential Concepts Using R and Python by Peter Bruce, Andrew Bruce, and Peter Gedeck
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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
practical-statistics-for-data-scientists-master are copied from github-gedect.
All source code was written with reference to that book.