A Python tool to forecast Google Analytics data using several popular time series models.
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Updated
Sep 30, 2022 - Python
A Python tool to forecast Google Analytics data using several popular time series models.
Strategies for analyzing the distribution of datasets, switching the data towards a normal distribution testing different manual transformations and Box-Cox transformation.
Compute the inverse of a one-parameter Box-Cox transformation.
Compute a one-parameter Box-Cox transformation of 1+x.
Compute a one-parameter Box-Cox transformation.
Compute the inverse of a one-parameter Box-Cox transformation for 1+x.
Space-Time Statistical Quality Control of Extreme Precipitation Observation
A Python library of 'old school' machine learning methods such as linear regression, logistic regression, naive Bayes, k-nearest neighbors, decision trees, and support vector machines.
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