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movie-recommender-system-tmdb-dataset's Introduction

movie-recommender-system-tmdb-dataset

A content based movie recommender system using cosine similarity

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movie-recommender-system-tmdb-dataset's Issues

ValueError: source code string cannot contain null bytes

Getting error while vectorizing the string
i use ->

from sklearn.feature_extraction.text import CountVectorizer 
cv = CountVectorizer(max_features=5000,stop_words='english')

error I got - >

---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
~\AppData\Local\Temp\ipykernel_4156\3031649546.py in <module>
----> 1 from sklearn.feature_extraction.text import CountVectorizer
      2 cv = CountVectorizer(max_features=5000,stop_words='english')

~\anaconda3\lib\site-packages\sklearn\__init__.py in <module>
     80     from . import _distributor_init  # noqa: F401
     81     from . import __check_build  # noqa: F401
---> 82     from .base import clone
     83     from .utils._show_versions import show_versions
     84 

~\anaconda3\lib\site-packages\sklearn\base.py in <module>
     15 from . import __version__
     16 from ._config import get_config
---> 17 from .utils import _IS_32BIT
     18 from .utils._tags import (
     19     _DEFAULT_TAGS,

~\anaconda3\lib\site-packages\sklearn\utils\__init__.py in <module>
     19 import warnings
     20 import numpy as np
---> 21 from scipy.sparse import issparse
     22 
     23 from .murmurhash import murmurhash3_32

~\anaconda3\lib\site-packages\scipy\__init__.py in <module>
     72 
     73 # Import numpy symbols to scipy name space (DEPRECATED)
---> 74 from ._lib.deprecation import _deprecated
     75 import numpy as _num
     76 linalg = None

ValueError: source code string cannot contain null bytes

Need a little bit of help regardig a lecture

Hi!

I needed to ask a query related to your following youtube tutorial

"Book Recommender System | Machine Learning Project | Collaborative Filtering Based Recommender Sys"

You have not mentioned anywhere about how can we check the accuracy or do evaluation on this model can you please tell me how to do this for this specific project

Thanks

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