Coursera-Course-Recommendation-System

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 🔗

Check out the demo of the application on Youtube here 🔗

Use the application live here 🔗

Tech Used

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.

Installation / Working

Requirements

beautifulsoup4==4.10.0
ipython==7.30.1
matplotlib==3.7.1
matplotlib-inline==0.1.6
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
pipreqs==0.4.11
python-dateutil==2.8.2
requests==2.26.0
soupsieve==2.3.1
scikit-learn==1.2.2
streamlit==1.3.1
testpath==0.5.0
urllib3==1.26.7
xgboost==1.7.4
validators==0.18.2
virtualenv==20.13.0

Clone 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 

Working Demo

The demo working of this web app can be found here 🔗 | Do like it, if you watch it :)

🚀 Thanks

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!

License

MIT

Ending Credits

• Made using Python and Streamlit
• @Author : Sagar Bapodara