https://github.com/ultrasage-danz/sql-free-to-paid-conversion-rate-project

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https://github.com/ultrasage-danz/sql-free-to-paid-conversion-rate-project

csv data-science mysql py python sql

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• Host: GitHub
• URL: https://github.com/ultrasage-danz/sql-free-to-paid-conversion-rate-project
• Owner: ultrasage-danz
• License: mit
• Created: 2024-08-05T03:32:17.000Z (about 2 months ago)
• Default Branch: main
• Last Pushed: 2024-08-05T03:52:59.000Z (about 2 months ago)
• Last Synced: 2024-09-28T17:01:16.591Z (5 days ago)
• Topics: csv, data-science, mysql, py, python, sql
• Language: Python
• Homepage: https://courses.dataschool.io/master-machine-learning-with-scikit-learn/vb6ld
• Size: 455 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Free-to-Paid Conversion Rate Analysis

## Overview

This project analyzes the free-to-paid conversion rate using data extracted from a MySQL database. The analysis is performed using Python and Pandas, focusing on calculating and visualizing the conversion metrics.

## Project Structure

- `analysis.py`: Python script for loading the CSV file, processing the data, and performing the analysis.

- `data/`: Directory containing the CSV files used for analysis.

- `docs/`: Documentation and additional resources related to the project.

## Requirements

- Python 3.12 or higher

- Pandas library

You can install the required Python packages using pip:

```bash

pip install pandas

```

## Getting Started

### Clone the Repository

```bash

git clone https://github.com/yourusername/your-repo-name.git

cd your-repo-name

```

## Prepare the Data

Ensure you have the CSV files with the relevant data in the `data/` directory.

## Run the Analysis

Execute the Python script to perform the analysis:

```bash

python analysis.py

```

## Review Results

Check the output and any generated reports or visualizations to interpret the conversion rates and other insights.

## Usage

- **CSV File**: Make sure the CSV file paths are correctly specified in `analysis.py`.

- **Column Names**: Verify that column names in the CSV file match those used in the Python script. Update the script if necessary.

## Contributing

Feel free to fork the repository, make improvements, and submit a pull request. Please ensure any changes are well-documented and tested.

## License

This project is licensed under the MIT License.

## Contact

For questions or feedback, please reach out to [[email protected]](mailto:[email protected]) and checkout this **MASTER ML COURSE: https://courses.dataschool.io/master-machine-learning-with-scikit-learn/vb6ld**