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GitHub / inclinedadarsh / movie-recommender-jupyter

This is a repository that contains a jupyter notebook that has a movie recommender. You can use that for your reference to build applications for Movie Recommendation System.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/inclinedadarsh%2Fmovie-recommender-jupyter

Stars: 0
Forks: 0
Open Issues: 0

License: None
Language: Jupyter Notebook
Repo Size: 8.67 MB
Dependencies: 174

Created: 8 months ago
Updated: 8 months ago
Last pushed: 8 months ago
Last synced: 8 months ago

Topics: jupyter-notebook, python, recommendation-system, recommender-system

Files

Readme

Dependencies

requirements.txt pypi

anyio =3.5.0=py310h06a4308_0
argon2-cffi =21.3.0=pyhd3eb1b0_0
argon2-cffi-bindings =21.2.0=py310h7f8727e_0
asttokens =2.0.5=pyhd3eb1b0_0
attrs =23.1.0=py310h06a4308_0
backcall =0.2.0=pyhd3eb1b0_0
beautifulsoup4 =4.12.2=py310h06a4308_0
blas =1.0=mkl
bleach =4.1.0=pyhd3eb1b0_0
bottleneck =1.3.5=py310ha9d4c09_0
brotli =1.0.9=h5eee18b_7
brotli-bin =1.0.9=h5eee18b_7
bzip2 =1.0.8=h7b6447c_0
ca-certificates =2023.08.22=h06a4308_0
cffi =1.15.1=py310h5eee18b_3
click =8.0.4=py310h06a4308_0
comm =0.1.2=py310h06a4308_0
contourpy =1.0.5=py310hdb19cb5_0
cycler =0.11.0=pyhd3eb1b0_0
cyrus-sasl =2.1.28=h52b45da_1
dbus =1.13.18=hb2f20db_0
debugpy =1.6.7=py310h6a678d5_0
decorator =5.1.1=pyhd3eb1b0_0
defusedxml =0.7.1=pyhd3eb1b0_0
entrypoints =0.4=py310h06a4308_0
exceptiongroup =1.0.4=py310h06a4308_0
executing =0.8.3=pyhd3eb1b0_0
expat =2.5.0=h6a678d5_0
fontconfig =2.14.1=h4c34cd2_2
fonttools =4.25.0=pyhd3eb1b0_0
freetype =2.12.1=h4a9f257_0
giflib =5.2.1=h5eee18b_3
glib =2.69.1=he621ea3_2
gst-plugins-base =1.14.1=h6a678d5_1
gstreamer =1.14.1=h5eee18b_1
icu =58.2=he6710b0_3
idna =3.4=py310h06a4308_0
intel-openmp =2023.1.0=hdb19cb5_46305
ipykernel =6.25.0=py310h2f386ee_0
ipython =8.15.0=py310h06a4308_0
ipython_genutils =0.2.0=pyhd3eb1b0_1
jedi =0.18.1=py310h06a4308_1
jinja2 =3.1.2=py310h06a4308_0
joblib =1.2.0=py310h06a4308_0
jpeg =9e=h5eee18b_1
jsonschema =4.17.3=py310h06a4308_0
jupyter_client =7.4.9=py310h06a4308_0
jupyter_core =5.3.0=py310h06a4308_0
jupyter_server =1.23.4=py310h06a4308_0
jupyterlab_pygments =0.1.2=py_0
kiwisolver =1.4.4=py310h6a678d5_0
krb5 =1.20.1=h143b758_1
lcms2 =2.12=h3be6417_0
ld_impl_linux-64 =2.38=h1181459_1
lerc =3.0=h295c915_0
libbrotlicommon =1.0.9=h5eee18b_7
libbrotlidec =1.0.9=h5eee18b_7
libbrotlienc =1.0.9=h5eee18b_7
libclang =14.0.6=default_hc6dbbc7_1
libclang13 =14.0.6=default_he11475f_1
libcups =2.4.2=h2d74bed_1
libdeflate =1.17=h5eee18b_1
libedit =3.1.20221030=h5eee18b_0
libevent =2.1.12=hdbd6064_1
libffi =3.4.4=h6a678d5_0
libgcc-ng =11.2.0=h1234567_1
libgfortran-ng =11.2.0=h00389a5_1
libgfortran5 =11.2.0=h1234567_1
libgomp =11.2.0=h1234567_1
libllvm14 =14.0.6=hdb19cb5_3
libpng =1.6.39=h5eee18b_0
libpq =12.15=hdbd6064_1
libsodium =1.0.18=h7b6447c_0
libstdcxx-ng =11.2.0=h1234567_1
libtiff =4.5.1=h6a678d5_0
libuuid =1.41.5=h5eee18b_0
libwebp =1.3.2=h11a3e52_0
libwebp-base =1.3.2=h5eee18b_0
libxcb =1.15=h7f8727e_0
libxkbcommon =1.0.1=h5eee18b_1
libxml2 =2.10.4=hcbfbd50_0
libxslt =1.1.37=h2085143_0
lxml =4.9.3=py310hdbbb534_0
lz4-c =1.9.4=h6a678d5_0
markupsafe =2.1.1=py310h7f8727e_0
matplotlib =3.7.2=py310h06a4308_0
matplotlib-base =3.7.2=py310h1128e8f_0
matplotlib-inline =0.1.6=py310h06a4308_0
mistune =0.8.4=py310h7f8727e_1000
mkl =2023.1.0=h213fc3f_46343
mkl-service =2.4.0=py310h5eee18b_1
mkl_fft =1.3.8=py310h5eee18b_0
mkl_random =1.2.4=py310hdb19cb5_0
munkres =1.1.4=py_0
mysql =5.7.24=h721c034_2
nbclassic =0.5.5=py310h06a4308_0
nbclient =0.5.13=py310h06a4308_0
nbconvert =6.5.4=py310h06a4308_0
nbformat =5.9.2=py310h06a4308_0
ncurses =6.4=h6a678d5_0
nest-asyncio =1.5.6=py310h06a4308_0
nltk =3.8.1=py310h06a4308_0
notebook =6.5.4=py310h06a4308_1
notebook-shim =0.2.2=py310h06a4308_0
nspr =4.35=h6a678d5_0
nss =3.89.1=h6a678d5_0
numexpr =2.8.4=py310h85018f9_1
numpy =1.26.0=py310h5f9d8c6_0
numpy-base =1.26.0=py310hb5e798b_0
openssl =3.0.11=h7f8727e_2
packaging =23.1=py310h06a4308_0
pandas =2.0.3=py310h1128e8f_0
pandocfilters =1.5.0=pyhd3eb1b0_0
parso =0.8.3=pyhd3eb1b0_0
pcre =8.45=h295c915_0
pexpect =4.8.0=pyhd3eb1b0_3
pickleshare =0.7.5=pyhd3eb1b0_1003
pillow =9.4.0=py310h6a678d5_1
pip =23.2.1=py310h06a4308_0
platformdirs =3.10.0=py310h06a4308_0
ply =3.11=py310h06a4308_0
prometheus_client =0.14.1=py310h06a4308_0
prompt-toolkit =3.0.36=py310h06a4308_0
psutil =5.9.0=py310h5eee18b_0
ptyprocess =0.7.0=pyhd3eb1b0_2
pure_eval =0.2.2=pyhd3eb1b0_0
pycparser =2.21=pyhd3eb1b0_0
pygments =2.15.1=py310h06a4308_1
pyparsing =3.0.9=py310h06a4308_0
pyqt =5.15.7=py310h6a678d5_1
pyqt5-sip =12.11.0=pypi_0
pyrsistent =0.18.0=py310h7f8727e_0
python =3.10.13=h955ad1f_0
python-dateutil =2.8.2=pyhd3eb1b0_0
python-fastjsonschema =2.16.2=py310h06a4308_0
python-tzdata =2023.3=pyhd3eb1b0_0
pytz =2023.3.post1=py310h06a4308_0
pyzmq =23.2.0=py310h6a678d5_0
qt-main =5.15.2=h7358343_9
qt-webengine =5.15.9=h9ab4d14_7
qtwebkit =5.212=h3fafdc1_5
readline =8.2=h5eee18b_0
regex =2022.7.9=py310h5eee18b_0
scikit-learn =1.3.0=py310h1128e8f_0
scipy =1.11.1=py310h5f9d8c6_0
seaborn =0.12.2=py310h06a4308_0
send2trash =1.8.0=pyhd3eb1b0_1
setuptools =68.0.0=py310h06a4308_0
sip =6.6.2=py310h6a678d5_0
six =1.16.0=pyhd3eb1b0_1
sniffio =1.2.0=py310h06a4308_1
soupsieve =2.4=py310h06a4308_0
sqlite =3.41.2=h5eee18b_0
stack_data =0.2.0=pyhd3eb1b0_0
tbb =2021.8.0=hdb19cb5_0
terminado =0.17.1=py310h06a4308_0
threadpoolctl =2.2.0=pyh0d69192_0
tinycss2 =1.2.1=py310h06a4308_0
tk =8.6.12=h1ccaba5_0
toml =0.10.2=pyhd3eb1b0_0
tornado =6.3.2=py310h5eee18b_0
tqdm =4.65.0=py310h2f386ee_0
traitlets =5.7.1=py310h06a4308_0
typing-extensions =4.7.1=py310h06a4308_0
typing_extensions =4.7.1=py310h06a4308_0
tzdata =2023c=h04d1e81_0
wcwidth =0.2.5=pyhd3eb1b0_0
webencodings =0.5.1=py310h06a4308_1
websocket-client =0.58.0=py310h06a4308_4
wheel =0.41.2=py310h06a4308_0
xz =5.4.2=h5eee18b_0
zeromq =4.3.4=h2531618_0
zlib =1.2.13=h5eee18b_0
zstd =1.5.5=hc292b87_0