Help! C3_W1_Assignment Exercise 6 and Exercise 7 shows error!

[ghost]

I couldn't complete the assignment and started looking online for answers and found your notebook.

Exercise 6 shows the following error : AttributeError Traceback (most recent call last) Cell In[103], line 7 4 example_breed = df_test[["breed"]].loc[0]["breed"] 5 print(f"Example dog has breed {example_breed} and features: height = {example_dog['height']:.2f}, weight = {example_dog['weight']:.2f}, bark_days = {example_dog['bark_days']:.2f}, ear_head_ratio = {example_dog['ear_head_ratio']:.2f}\n") ----> 7 print(f"Probability of these features if dog is classified as breed 0: {prob_of_X_given_C([*example_dog], FEATURES, 0, train_params)}") 8 print(f"Probability of these features if dog is classified as breed 1: {prob_of_X_given_C([*example_dog], FEATURES, 1, train_params)}") 9 print(f"Probability of these features if dog is classified as breed 2: {prob_of_X_given_C([*example_dog], FEATURES, 2, train_params)}")

Cell In[102], line 33, in prob_of_X_given_C(X, features, breed, params_dict) 29 match feature: 30 # You can add add as many case statements as you see fit 31 case "height" | "weight": 32 # Compute the relevant pdf given the distribution and the estimated parameters ---> 33 probability_f = pdf_gaussian(x, params.mu, params.sigma) 35 case "bark_days": 36 # Compute the relevant pdf given the distribution and the estimated parameters 37 probability_f = pdf_binomial(x, params.n, params.p)

AttributeError: 'dict' object has no attribute 'mu'

Exercise 7 shows the following error: TypeError Traceback (most recent call last) Cell In[99], line 3 1 # Test your function ----> 3 example_pred = predict_breed([*example_dog], FEATURES, train_params, train_class_probs, example_breed) 4 print(f"Example dog has breed {example_breed} and Naive Bayes classified it as {example_pred}")

TypeError: predict_breed() takes 4 positional arguments but 5 were given

Thank you for any help.