I worked on Mumbai Property Dataset which is I scraped from www.99acres.com website.
The focus of this work was Web Scraping, Data Cleaning, Data Analysis, Model Building and Deployment.
- Linear Regression
- Decision Tree
- Random Forest
- Polynomial Features
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Open your vscode and click the new terminal. Use the
Ctrl+Shift+`keyboard shortcut to create a new terminal. -
Create a new set up virtual environment. A virtual environment is a named, isolated, working copy of Python that that maintains its own files, directories, and paths so that you can work with specific versions of libraries or Python itself without affecting other Python projects. Run this code :
python -m venv private -
Activating the virtual environment :
private\Scripts\activate -
Installation of required packages to the virtual environment.
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A. Install Streamlit :
pip install streamlit -
B. Install Sklearn :
pip install scikit-learn
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Generate a Requirements File. This file is a checklist for the Python application in question. It lists all libraries and associated versions used in the app. To generate a requirements.txt file, navigate to the terminal and run this code :
pip freeze > requirements.txt -
Run Streamlit as a Python module :
streamlit run app.py -
Fianal deploy in streamlit website create account or sign in streamlit.io and deploy final web app.
