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Download all resources in one dropbox location

Download all resources in one dropbox location

0
Votes
1
Answer

https://www.dropbox.com/sh/7oslws1xhsm1zbf/AABkdWDKqpdcGmY1NbXAnkrBa?dl=0&lst=
Like the above link that you guys have shared for Credit Risk Modeling, It would be very helpful if we can get the same for Time Series Analysis and Customer Analytics, where we can get all resources in a single location including datasets and notebooks.
Thanks for making such a great course BTW. I really love it. And thanks for making this available for free during this unprecedented times.

1 Answer

0
Votes

Hey, while running your PD model file, I got the following error while running the selecting feature code. 
Can you help me how to solve it?

---------------------------------------------------------------------------
KeyError                                  Traceback (most recent call last)
<ipython-input-17-c1af5fd83412> in <module>()
    125 'mths_since_last_record:32-80',
    126 'mths_since_last_record:81-86',
--> 127 'mths_since_last_record:>=86',
    128 ]]

~\Anaconda4\lib\site-packages\pandas\core\indexing.py in __getitem__(self, key)
   1760                 except (KeyError, IndexError, AttributeError):
   1761                     pass
-> 1762             return self._getitem_tuple(key)
   1763         else:
   1764             # we by definition only have the 0th axis

~\Anaconda4\lib\site-packages\pandas\core\indexing.py in _getitem_tuple(self, tup)
   1287                 continue
   1288 
-> 1289             retval = getattr(retval, self.name)._getitem_axis(key, axis=i)
   1290 
   1291         return retval

~\Anaconda4\lib\site-packages\pandas\core\indexing.py in _getitem_axis(self, key, axis)
   1952                     raise ValueError("Cannot index with multidimensional key")
   1953 
-> 1954                 return self._getitem_iterable(key, axis=axis)
   1955 
   1956             # nested tuple slicing

~\Anaconda4\lib\site-packages\pandas\core\indexing.py in _getitem_iterable(self, key, axis)
   1593         else:
   1594             # A collection of keys
-> 1595             keyarr, indexer = self._get_listlike_indexer(key, axis, raise_missing=False)
   1596             return self.obj._reindex_with_indexers(
   1597                 {axis: [keyarr, indexer]}, copy=True, allow_dups=True

~\Anaconda4\lib\site-packages\pandas\core\indexing.py in _get_listlike_indexer(self, key, axis, raise_missing)
   1551 
   1552         self._validate_read_indexer(
-> 1553             keyarr, indexer, o._get_axis_number(axis), raise_missing=raise_missing
   1554         )
   1555         return keyarr, indexer

~\Anaconda4\lib\site-packages\pandas\core\indexing.py in _validate_read_indexer(self, key, indexer, axis, raise_missing)
   1653             if not (ax.is_categorical() or ax.is_interval()):
   1654                 raise KeyError(
-> 1655                     "Passing list-likes to .loc or [] with any missing labels "
   1656                     "is no longer supported, see "
   1657                     "https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike"  # noqa:E501

KeyError: 'Passing list-likes to .loc or [] with any missing labels is no longer supported, see https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#deprecate-loc-reindex-listlike'

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