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.

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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Deepak Kumar Sood

Last answered:

05 Apr 2020

Posted on:

04 Apr 2020

Download all resources in one dropbox location

1 answers ( 0 marked as helpful)

Sanket Amul Dedhia

Posted on:

05 Apr 2020

Download all resources in one dropbox location

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