Hello! I hope you are doing well.

This query is about C3 W1 A1 Ex 6: prob_of_X_given_C.

We have given that *you just need to compute the appropriate PDF for each feature by passing the estimated parameters of that feature to the corresponding PDF computation function.*

Code structure is:

```
### START CODE HERE ###
for None, None in zip(None, None):
# Get the relevant parameters from params_dict
params = params_dict[None][None]
match None:
# You can add add as many case statements as you see fit
case "height" | "weight":
# Compute the relevant pdf given the distribution and the estimated parameters
probability_f = None(None, None, None)
```

- I did x and feature in zip of X and features.
- I used breed and feature for [None][None] of
`params_dict`

For the case of height or weight, I am using the `Gaussian PDF`

which takes the x, mu, and sigma as the argument. So, my question is, how to pass the `mu`

and `sigma`

?

I print out the `params_dict`

but didnâ€™t get any hint:

`params_dict: {2: {'height': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'weight': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'bark_days': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'ear_head_ratio': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object')}, 0: {'height': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'weight': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'bark_days': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'ear_head_ratio': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object')}, 1: {'height': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'weight': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'bark_days': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object'), 'ear_head_ratio': Index(['height', 'weight', 'bark_days', 'ear_head_ratio'], dtype='object')}}`

Your guidance is highly appreciated.

Best,

Saif.