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:

pip install pandas

Getting Started

Clone the Repository

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:

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] and checkout this MASTER ML COURSE: https://courses.dataschool.io/master-machine-learning-with-scikit-learn/vb6ld