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Books Recommender System Using Machine Learning SEM 3 Project by Shakti & Raj

  1. python jupyter done
  2. whole folder with data and ipynb file and artifacts file
  3. vs studio import that folder and install "python" extension to vscode
  4. install git & have bash command ('where conda' command in anaconda prompt to findout PATH) (see add to path video)
  5. create env in same folder using command "conda create --prefix ./env python==3.x"
  6. activate env with "conda.bat activate ./env/" pip install -r requirements.txt

if streamlit not working, use (in envi prompt) pip install urllib3==1.26.6 and python -m streamlit run app.py (in vs code) //same way upgrade pip with command 'python -m pip install --upgrade pip' from python directory

if sklearn module error rises, install it with env prompt/direct environment tab

show up your project with command python -m streamlit run app.py


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