SGDRegressor() constantly not increasing validation performance

The model fit of my SGDRegressor wont increase or decrease its performance on the validation set (test) after around 20’000 training records. Even if I try to switch penalty, early_stopping (True/…

Does it make sense? If yes then how to handle in MSE?

Can we do log transform to one variable and sqrt to another for LinearRegression? If yes then what to do during MSE? Should I exp or square the y_test and prediction? boston[‘medv_log’] = np.log(…

How to label the line from transform_regression using Altair?

The code below creates a regression line; however, the legend defaults to labeling the line as “undefined.” How can this regression line be labeled in the legend as “reg-line”? …

Python: Develope Multiple Linear Regression Model From Scrath

I am trying to create a multiple linear regression model from scratch in python. Dataset used: Boston Housing Dataset from Sklearn. Since my focus was on the model building I did not perform any pre-…

Missing observations and clustered standard errors in Python statsmodels?

What’s the cleanest, most pythonic way to run a regression only on non-missing data and use clustered standard errors? Imagine I have a Pandas dataframe all_data. Clunky method that works (make a dataframe without missing data): I can make a new dataframe without the missing data, make the model, and fit the model: This feels a bit clunky (esp. when I’m doing it all over the place with different right hand side variables.) And I have to make sure that my stats formula matches the dataframe variables. But is there a way to make it work using the missing argument?