Analyzing historical insurance claim data to optimize marketing strategy and identify low-risk targets for premium reduction in the South African car insurance market.
# Insurance Claim Data Analysis
The objective of this historical insurance claim data analyses is to help optimise the marketing strategy as well as discover “low-risk” targets for which the premium could be reduced, hence an opportunity to attract new clients.
## Project Structure
The project directory contains the following structure:
- `data/`: Contains the txt files for unittest.
- `notebooks/`: Contains notes for analysis.
- `src/`: Contains the source code for the analysis classes.
- `tests/`: Contains the unit tests for the analysis classes.
- ``scripts/``: Contains test script for each classes.
- ``images/`: Contains images from the analysis result.
- `requirements.txt`: Dependencies used.
## Installation
1. Clone the repository to your local machine.
```
$ git clone
github.com
```
2. Navigate to the project directory.
```
$ cd insurance-claim-analysis
```
3. Create a virtual environment.
```
$ python3 -m venv insurance-venv
```
4. Activate the virtual environment
```
$ source stock-venv/bin/activate
```
6. Install dependencies using pip
```
$ pip install -r requirements.txt.
```
## Troubleshooting
- If you encounter any issues or have questions, please open an issue on the project's GitHub repository (
github.com).
## License
This project is licensed under the MIT License.