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Kadibia/Lagos-Home-Price-Prediction

Domaine:

socioeconomic

Type de record:

model
Créateur:
Kad
Hôte:
The Lagos Home Price Prediction Model is a machine learning-based tool designed to estimate the market value of homes in various locations across Lagos, Nigeria. How to Run the Lagos Home Price Prediction Model on Local Machine 1. Install Dependencies: * Open Command Prompt. * Navigate to the project directory where the requirements.txt file is located. For example: `cd path\to\your\project\LagosHomePrice` Install the necessary Python packages by running: `pip install -r requirements.txt` 2. Start the Server: * Open Command Prompt. * Navigate to the server directory where you have the project files. For example: `cd path\to\your\saved\file\LagosHomePrice\server` * Start the server by running: `python server.py` 3. Open the Client Interface: * Navigate to the client directory where the app.html file is located. For example: `cd path\to\your\saved\file\LagosHomePrice\client` * Double-click on `app.html` to open the application in your web browser. PS: Replace path\to\your\saved\file with the actual path where you have saved the project files. PS2: If you encounter issues, reach out to me via ikevudechukwuka@gmail.com