from sklearn.datasets import fetch_california_housing
from sklearn.model_selection import train_test_split 
from sklearn.preprocessing import StandardScaler

housing = fetch_california_housing()

X_train_full, X_test, y_train_full, y_test = train_test_split(
housing.data, housing.target)
X_train, X_valid, y_train, y_valid = train_test_split(X_train_full, y_train_full)

scaler = StandardScaler()
X_train_scaled = scaler.fit_transform(X_train)
X_valid_scaled = scaler.transform(X_valid)
X_test_scaled = scaler.transform(X_test)

HTTPError                                 Traceback (most recent call last)
[/var/folders/wx/mz49j6yd5514yjn5k60sk6900000gn/T/ipykernel_16344/1379907178.py](https://file+.vscode-resource.vscode-cdn.net/var/folders/wx/mz49j6yd5514yjn5k60sk6900000gn/T/ipykernel_16344/1379907178.py) in <module>
      3 from sklearn.preprocessing import StandardScaler
      4 
----> 5 housing = fetch_california_housing()
      6 
      7 X_train_full, X_test, y_train_full, y_test = train_test_split(

[~/opt/anaconda3/lib/python3.9/site-packages/sklearn/datasets/_california_housing.py](https://file+.vscode-resource.vscode-cdn.net/Users/aryamanbhatia/neural%20network%20for%20practice/~/opt/anaconda3/lib/python3.9/site-packages/sklearn/datasets/_california_housing.py) in fetch_california_housing(data_home, download_if_missing, return_X_y, as_frame)
    133     This dataset consists of 20,640 samples and 9 features.
    134     """
--> 135     data_home = get_data_home(data_home=data_home)
    136     if not exists(data_home):
    137         makedirs(data_home)

[~/opt/anaconda3/lib/python3.9/site-packages/sklearn/datasets/_base.py](https://file+.vscode-resource.vscode-cdn.net/Users/aryamanbhatia/neural%20network%20for%20practice/~/opt/anaconda3/lib/python3.9/site-packages/sklearn/datasets/_base.py) in _fetch_remote(remote, dirname)

[~/opt/anaconda3/lib/python3.9/urllib/request.py](https://file+.vscode-resource.vscode-cdn.net/Users/aryamanbhatia/neural%20network%20for%20practice/~/opt/anaconda3/lib/python3.9/urllib/request.py) in urlretrieve(url, filename, reporthook, data)
    237     url_type, path = _splittype(url)
    238 
--> 239     with contextlib.closing(urlopen(url, data)) as fp:
    240         headers = fp.info()
    241 
...
--> 641         raise HTTPError(req.full_url, code, msg, hdrs, fp)
    642 
    643 class HTTPRedirectHandler(BaseHandler):

HTTPError: HTTP Error 403: Forbidden