I have an Excel file in $.$csv format with the following columns:

Y$,$x$1,$x$2,$x$3,$x$4,$x$5,$x$6,$x$7$

i need to solve this qustion in bython code

Q $($d$)$ Model Selection with BIC and Lasso

$$ Use the BIC criterion to perform variable selection. Report the final model and compare it with the backward elimination model.

$$ Apply Lasso regression to select variables. Compare the results with both backward elimination and BIC models. How do the selected variables differ across the models, and what does that imply about their importance?