Problema no carregado de MICRODADOS_ENEM_2017.csv

Logo, no início no projeto, tendo carregar o arquivo conforme o solicitado:

use_cols = ["NU_NOTA_CN","NU_NOTA_CH","NU_NOTA_LC",
           "NU_NOTA_MT","NU_NOTA_COMP1", "NU_NOTA_COMP2",
           "NU_NOTA_COMP3","NU_NOTA_COMP4", "NU_NOTA_COMP5"]

enem = pd.read_csv('input/MICRODADOS_ENEM_2017.csv',sep=';',encoding='iso-8859-1',usecols = use_cols)

Logo, o que resulta nisso:

---------------------------------------------------------------------------
MemoryError                               Traceback (most recent call last)
<ipython-input-9-7ca2957991c2> in <module>
      5            "NU_NOTA_COMP3","NU_NOTA_COMP4", "NU_NOTA_COMP5"]
      6 
----> 7 enem = pd.read_csv('input/MICRODADOS_ENEM_2017.csv',sep=';',encoding='iso-8859-1',usecols = use_cols)

c:\python38\lib\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, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, dialect, error_bad_lines, warn_bad_lines, delim_whitespace, low_memory, memory_map, float_precision)
    674         )
    675 
--> 676         return _read(filepath_or_buffer, kwds)
    677 
    678     parser_f.__name__ = name

c:\python38\lib\site-packages\pandas\io\parsers.py in _read(filepath_or_buffer, kwds)
    452 
    453     try:
--> 454         data = parser.read(nrows)
    455     finally:
    456         parser.close()

c:\python38\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   1131     def read(self, nrows=None):
   1132         nrows = _validate_integer("nrows", nrows)
-> 1133         ret = self._engine.read(nrows)
   1134 
   1135         # May alter columns / col_dict

c:\python38\lib\site-packages\pandas\io\parsers.py in read(self, nrows)
   2035     def read(self, nrows=None):
   2036         try:
-> 2037             data = self._reader.read(nrows)
   2038         except StopIteration:
   2039             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._concatenate_chunks()

<__array_function__ internals> in concatenate(*args, **kwargs)

MemoryError: Unable to allocate 51.4 MiB for an array with shape (6731341,) and data type float64

alguém já passou por isso?