ShadowFox-2 🦊

Profit Prediction System

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📌 Project Overview

ShadowFox-2 is a Machine Learning based Profit Prediction System.
It learns from historical cost-revenue data and predicts business profitability for future cases.
Perfect for retail, startups, or anyone wanting data-driven decisions instead of gut feeling.

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✨ Features

✅ Data Cleaning & Pre-processing
✅ Regression-based Profit Prediction
✅ Visual Graphs (Profit vs Cost etc.)
✅ Easy-to-run Python Scripts
✅ Model saving/loading for faster predictions

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🧠 How It Works

1. Load dataset
2. Preprocess data (handling missing values, scaling features)
3. Train a machine learning regression model
4. Evaluate performance
5. Predict profit for new inputs

Model Used (default):
Linear Regression (configurable to other models like Random Forest)

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🔧 Installation & Setup

✅ Requirements

• Python 3.8 or above
• Required libraries listed in requirements.txt

Install dependencies:

pip install -r requirements.txt