text: Title: Issue related to Lasso and Ridge regression notebook  file - mlcourse.ai/jupyter_english/topic06_features_regression/lesson6_lasso_ridge.ipynb / 
  Body: While plotting  Ridge coefficient vs weights, the alphas used are different from Ridge_alphas. And while fitting the the model and calculating the ridge_cv.alpha_ we're using ridge_alphas. So,in below code its taking alpha values from alpha defined for **Lasso**. if we plot using ridge alphas plot is quite different. Please suggest if this is correct plot.
  
  n_alphas=200
  ridge_alphas=np.logspace(-2,6,n_alphas)
  
  coefs = []
  for a in alphas:    # alphas = np.linspace(0.1,10,200) it's from Lasso
      model.set_params(alpha=a)
      model.fit(X, y)
      coefs.append(model.coef_)
  
  
  