Connecting to Kaggle for data.
#### Code Sample, a copy-pastable example if possible

```python
project_data = pd.read_csv('https://www.kaggle.com/hanselhansel/donorschoose#train_data.csv')
resource_data = pd.read_csv('https://www.kaggle.com/hanselhansel/donorschoose#Resources.csv')

```
#### Problem description

Anyone one  knows if I am passing the right way. 
---------------------------------------------------------------------------
ParserError                               Traceback (most recent call last)
<ipython-input-8-f36897a1d126> in <module>
----> 1 project_data = pd.read_csv('https://www.kaggle.com/devesh8052/donors-choode-dataset#train_data.csv')
      2 resource_data = pd.read_csv('https://www.kaggle.com/devesh8052/donors-choode-dataset#Resources.csv')
      3 #Limit the data for testing purpose since processing takes few hours for full set..
      4 
      5 project_data = project_data.head(20000)

/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in parser_f(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, escapechar, comment, encoding, dialect, tupleize_cols, error_bad_lines, warn_bad_lines, skipfooter, doublequote, delim_whitespace, low_memory, memory_map, float_precision)
    676                     skip_blank_lines=skip_blank_lines)
    677 
--> 678         return _read(filepath_or_buffer, kwds)
    679 
    680     parser_f.__name__ = name

/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in _read(filepath_or_buffer, kwds)
    444 
    445     try:
--> 446         data = parser.read(nrows)
    447     finally:
    448         parser.close()

/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
   1034                 raise ValueError('skipfooter not supported for iteration')
   1035 
-> 1036         ret = self._engine.read(nrows)
   1037 
   1038         # May alter columns / col_dict

/opt/conda/lib/python3.6/site-packages/pandas/io/parsers.py in read(self, nrows)
   1846     def read(self, nrows=None):
   1847         try:
-> 1848             data = self._reader.read(nrows)
   1849         except StopIteration:
   1850             if self._first_chunk:

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader.read()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_low_memory()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._read_rows()

pandas/_libs/parsers.pyx in pandas._libs.parsers.TextReader._tokenize_rows()

pandas/_libs/parsers.pyx in pandas._libs.parsers.raise_parser_error()

ParserError: Error tokenizing data. C error: Expected 1 fields in line 6, saw 2

[this should explain **why** the current behaviour is a problem and why the expected output is a better solution.]

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#### Expected Output

#### Output of ``pd.show_versions()``

<details>

[paste the output of ``pd.show_versions()`` here below this line]

</details>
