A course recommendation system using the Coursera Courses dataset which contains over 3,000 courses.
The model has been trained using a dataset of 3,000 courses! Find the dataset here 🔗
Link to my Kaggle Notebook here 🔗
Language: Python (3.9)
Front-End: Streamlit
Please Note that this technology is being used for the latest version. Further improvements in the project may result in changes in the technology used. It will be updated above as well.
altair==4.2.0
argon2-cffi==21.3.0
argon2-cffi-bindings==21.2.0
astor==0.8.1
attrs==21.4.0
backcall==0.2.0
base58==2.1.1
bleach==4.1.0
blinker==1.4
cachetools==5.0.0
certifi==2021.10.8
cffi==1.15.0
charset-normalizer==2.0.9
click==7.1.2
colorama==0.4.4
cycler==0.11.0
debugpy==1.5.1
decorator==5.1.0
defusedxml==0.7.1
distlib==0.3.4
entrypoints==0.3
filelock==3.4.2
gitdb==4.0.9
GitPython==3.1.24
idna==3.3
imgviz==1.4.1
ipykernel==6.6.0
ipython==7.30.1
ipython-genutils==0.2.0
ipywidgets==7.6.5
jedi==0.18.1
Jinja2==3.0.3
jsonschema==4.3.3
jupyter-client==7.1.0
jupyter-core==4.9.1
jupyterlab-pygments==0.1.2
jupyterlab-widgets==1.0.2
kiwisolver==1.3.2
labelme==4.2.9
MarkupSafe==2.0.1
matplotlib==3.2.2
matplotlib-inline==0.1.3
mistune==0.8.4
nbclient==0.5.9
nbconvert==6.3.0
nbformat==5.1.3
nest-asyncio==1.5.4
notebook==6.4.6
numpy==1.21.5
packaging==21.3
pandas==1.3.5
pandocfilters==1.5.0
parso==0.8.3
pickleshare==0.7.5
Pillow==8.4.0
platformdirs==2.4.1
prometheus-client==0.12.0
prompt-toolkit==3.0.24
protobuf==3.19.1
pyarrow==6.0.1
pycparser==2.21
pydeck==0.7.1
Pygments==2.11.1
Pympler==1.0.1
pyparsing==3.0.6
PyQt5==5.15.6
PyQt5-Qt5==5.15.2
PyQt5-sip==12.9.0
pyrsistent==0.18.0
python-dateutil==2.8.2
pytz==2021.3
pytz-deprecation-shim==0.1.0.post0
pywin32==303
pywinpty==1.1.6
PyYAML==6.0
pyzmq==22.3.0
QtPy==2.0.0
requests==2.26.0
Send2Trash==1.8.0
six==1.16.0
smmap==5.0.0
streamlit==1.3.1
termcolor==1.1.0
terminado==0.12.1
testpath==0.5.0
toml==0.10.2
toolz==0.11.2
tornado==6.1
traitlets==5.1.1
typing_extensions==4.0.1
tzdata==2021.5
tzlocal==4.1
urllib3==1.26.7
validators==0.18.2
virtualenv==20.13.0
watchdog==2.1.6
wcwidth==0.2.5
webencodings==0.5.1
widgetsnbextension==3.5.2Clone this repository or Download the files into your local system.
- Extract the ZIP file (if you directly download from Github Web)
- Make sure all the files are in the same folder/directory
- Open your Command Prompt (CMD) in the same directory
- Type the following command (for web app) :
streamlit run main.py- Make sure you have streamlit installed on your local device, if not installed, type the following to install (windows) :
pip install streamlit The demo working of this web app can be found here 🔗 | Do like it, if you watch it :)
Thanks for looking into the project and being here. Feel free to share your reviews/suggestions/remarks! :)
If you found it useful, leave a ⭐ here!
Ending Credits
- Made using Python and Streamlit
- @Author : Sagar Bapodara