A content based movie recommender system using cosine similarity
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A content based movie recommender system using cosine similarity
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Hi I get an error at 53..27 .
1 new['tag'] = new['tag'].apply(lambda x: " ".join(x))
TypeError: can only join an iterable.
Movie_recommendation system.pdf
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
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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