for issues related to linear regression modelling approach
I tried this but couldn't get it to work for my data: Use Scikit Learn to do linear regression on …
python pandas machine-learning scikit-learn linear-regressionI have a classic linear regression problem of the form: y = X b where y is a response vector X …
python numpy scipy mathematical-optimization linear-regressionWith scipy.stats.linregress I am performing a simple linear regression on some sets of highly correlated x,y experimental …
python statistics scipy linear-regressionI am running a linear regression on some variables in a data frame. I'd like to be able to subset …
r linear-regression lmin coursera course for machine learning https://share.coursera.org/wiki/index.php/ML:Linear_Regression_with_Multiple_Variables#Gradient_…
python machine-learning scikit-learn linear-regressionI have a dataset including categorical variables(binary) and continuous variables. I'm trying to apply a linear regression model for …
python linear-regression correlation categorical-dataI want to write a program that, given a list of points in 3D-space, represented as an array of x,…
algorithm linear-regressionLet's say I have a data matrix d pc = prcomp(d) # pc1 and pc2 are the principal components pc1 = pc$…
r linear-regression pcaI used to work with MATLAB, and for the question I raised I can use p = polyfit(x,y,1) to …
c++ algorithm matlab curve-fitting linear-regressionIn R, how can I set weights for particular variables and not observations in lm() function? Context is as follows. …
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