Predicting startup business profits to provide valuable insights for business decision-making.
- About the Project
- Technologies Used
- Features
- Getting Started
- Usage
- Contributing
- License
- Author
- Live Project Link
- Kaggle Notebook Link
Startup Profit Predictor is a project aimed at predicting the profits of startup businesses using machine learning techniques. The goal is to provide valuable insights for business decision-making by analyzing various factors that influence profitability.
- Python
- Flask
- Scikit-learn
- HTML
- CSS
- JavaScript
- Built a machine learning model to predict startup business profits.
- Developed data pipelines for cleaning, collecting, processing, and analyzing diverse datasets.
- Implemented feature engineering techniques to optimize the dataset for predictive analytics.
- Employed the Linear regression model for predictive analytics.
- Developed a user-friendly UI page using Flask for backend development.
- Deployed the application on the Render platform for seamless access.
To get started with the Startup Profit Predictor project, follow these steps:
Before running the project, ensure you have the following prerequisites installed on your system:
- Python
- pip (Python package manager)
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Clone the repository: Clone the Startup Profit Predictor repository to your local machine.
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Navigate to the project directory: After cloning the repository, navigate to the project directory.
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Install Dependencies: Install the required dependencies by running
pip install -r requirements.txt. -
Run the Flask App: Start the Flask app by running
python app.py. -
Access the Application: Open your web browser and navigate to the address shown in the terminal. You should now be able to access the Startup Profit Predictor and begin exploring its features.
Once the Flask app is up and running, you can easily interact with the Startup Profit Predictor interface. Input the necessary startup business details, and the application will predict the potential profits based on the provided data.
Contributions are welcome! If you have suggestions or improvements for the Startup Profit Predictor project, feel free to open an issue or create a pull request with necessary changes.
Distributed under the MIT License. See LICENSE for more information.
- Ayushmman Saini - Data Scientist - Your GitHub Profile