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Regression Analysis with Python by Alberto Boschetti, Luca Massaron

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What you need for this book

The execution of the code examples provided in this book requires an installation of Python 3.4.3 or newer on Mac OS X, Linux, or Microsoft Windows.

The code presented throughout the book will also make frequent use of Python's essential libraries for scientific and statistical computing such as SciPy, NumPy, Scikit-learn, Statsmodels, to a minor extent, matplotlib, and pandas.

Apart from taking advantage of Scientific distributions (such as Anaconda from Continuum Analytics) that can save you a lot of time from the time-consuming operations in order to create a working environment, we also suggest you to adopt Jupyter and its IPython Notebooks, as a more productive and scientific-friendly way to code your linear models ...

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