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I'm using Python and Numpy to calculate a best fit polynomial of arbitrary degree. I pass a list of x …
python math statistics numpy curve-fittingI am trying to plot a ROC curve to evaluate the accuracy of a prediction model I developed in Python …
python matplotlib plot statistics rocI have sample data which I would like to compute a confidence interval for, assuming a normal distribution. I have …
python numpy statistics confidence-intervalHow can I find the p-value (significance) of each coefficient? lm = sklearn.linear_model.LinearRegression() lm.fit(x,y)
python numpy statistics scikit-learn regressionHow to calculate probability in normal distribution given mean, std in Python? I can always explicitly code my own function …
python statistics scipy probabilityI've always thought that Python's advantages are code readibility and development speed, but time and memory usage were not as …
c++ python performance memory statisticsI can't seem to find any python libraries that do multiple regression. The only things I find only do simple …
python numpy statistics scipy linear-regressionHere is an exercise from Introductory Statistics with R: With the rmr data set, plot metabolic rate versus body weight. …
r statistics linear-regression confidence-intervalNetwork analysis by Chrome when page loads I would like to export this data to Microsoft Excel so that I …
performance networking google-chrome statistics exportWhen I try to define my linear model in R as follows: lm1 <- lm(predictorvariable ~ x1+x2+x3, …
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