PYTHON

feature importance plot using lasso regression

# Import Lasso
from sklearn.linear_model import Lasso

# Instantiate a lasso regression model
lasso = Lasso(alpha=0.3)

# Fit the model to the data
lasso.fit(X, y)

# Compute and print the coefficients
lasso_coef = lasso.coef_
print(lasso_coef)
plt.bar(sales_columns, lasso_coef)
plt.xticks(rotation=45)
plt.show()