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New posts in linear-regression
Machine learning - Linear regression using batch gradient descent
matlab
machine-learning
gradient
linear-regression
gradient-descent
predict.lm() in a loop. warning: prediction from a rank-deficient fit may be misleading
r
statistics
linear-regression
lm
Why does $A^TAx = A^Tb$ have infinitely many solution algebraically when $A$ has dependent columns?
linear-algebra
matrices
least-squares
linear-regression
ValueError: Expected 2D array, got 1D array instead:
python-3.x
scikit-learn
linear-regression
Ridge regression with `glmnet` gives different coefficients than what I compute by "textbook definition"?
r
machine-learning
regression
linear-regression
glmnet
Why the built-in lm function is so slow in R?
r
regression
linear-regression
lm
What happens to $\operatorname{Var}\left(\varepsilon_{i} \mid x_{i}\right)$ if there is heteroscedasticity?
statistics
economics
linear-regression
TensorFlow: "Attempting to use uninitialized value" in variable initialization
python
machine-learning
linear-regression
tensorflow
TensorFlow: "Attempting to use uninitialized value" in variable initialization
python
machine-learning
linear-regression
tensorflow
Why do I get only one parameter from a statsmodels OLS fit
python
pandas
linear-regression
statsmodels
Variance of ridge regression estimator
regression
linear-regression
regression-analysis
How to calculate the 95% confidence interval for the slope in a linear regression model in R
r
statistics
linear-regression
confidence-interval
Least Square Estimation of Linear Regression
statistics
linear-regression
how to calculate error part in of fitted line of polyfit to data?
pandas
numpy
loops
linear-regression
data-fitting
Cost Function, Linear Regression, trying to avoid hard coding theta. Octave.
machine-learning
octave
linear-regression
lm function in R does not give coefficients for all factor levels in categorical data
r
linear-regression
lm
How `poly()` generates orthogonal polynomials? How to understand the "coefs" returned?
r
matrix
regression
linear-regression
lm
R: lm() result differs when using `weights` argument and when using manually reweighted data
r
regression
linear-regression
lm
lme4::lmer reports "fixed-effect model matrix is rank deficient", do I need a fix and how to?
r
regression
linear-regression
lme4
mixed-models
Bias of ridge estimator
linear-algebra
regression
linear-regression
regression-analysis
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