Weather Prediction App — Decision Tree Regression

Quickstart

Create virtualenv and install requirements: python -m venv .venv .venv\Scripts\activate # on Windows pip install -r requirements.txt
Apply migrations and runserver: python manage.py migrate python manage.py runserver
Workflow:
- Upload weather data CSV at /upload/ (columns: date,city,temp_min,temp_max,humidity,wind_speed,rainfall,pressure,cloud_cover)
- Explore data at /explore/
- Train Decision Tree model at /train/
- Predict temperature at /predict/
UI uses Tailwind CSS via CDN for modern look.
To create a zip of the project (from the parent folder): powershell Compress-Archive -Path weather_project -DestinationPath weather_project.zip

Name		Name	Last commit message	Last commit date
Latest commit History 38 Commits
data		data
theme		theme
weather_app		weather_app
weather_project		weather_project
README.md		README.md
db.sqlite3		db.sqlite3
manage.py		manage.py
requirements.txt		requirements.txt