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: https://oreilly.com/catalog/errata.csp?isbn=9781492072942
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
pip install jupyter
pip install pandas
pip install matplotlib
pip install scipy
pip install statsmodels
pip install wquantiles
pip install seaborn
pip install scikit-learn
pip install pygam
pip install dmba
pip install pydotplus
pip install imbalanced-learn
pip install prince
conda install --yes -c conda-forge xgboost
conda install --yes graphviz
- O'Reilly: https://oreil.ly/practicalStats_dataSci_2e
- Errata: https://oreilly.com/catalog/errata.csp?isbn=9781492072942
- The code repository for the first edition is at: https://github.com/andrewgbruce/statistics-for-data-scientists