This Python project aims to predict future progressions based on historical data. Unlike traditional machine learning approaches, this project utilizes basic algorithms implemented in Python without relying on machine learning libraries.
The progression prediction tool is designed to analyze historical data and forecast future progressions in a given scenario. It's particularly useful for scenarios where machine learning models may be overkill or not feasible due to constraints such as data availability or computational resources.
- Simple Implementation: The project focuses on simplicity, employing basic Python programming concepts for prediction.
- Customizable Parameters: Users can easily customize parameters such as historical data range, prediction period, and prediction method.
- Data Visualization: Visualizations are provided to help users understand the historical data and predicted progression trends.
- Interactivity: The tool offers an interactive interface for users to input their data and obtain predictions effortlessly.