https://github.com/mohith1306/startup_profit_prediction

Predicting startup profit using ML models (Linear & Random Forest Regression)
https://github.com/mohith1306/startup_profit_prediction

data-science machine-learning python regression

Last synced: 3 months ago
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Predicting startup profit using ML models (Linear & Random Forest Regression)

• Host: GitHub
• URL: https://github.com/mohith1306/startup_profit_prediction
• Owner: mohith1306
• Created: 2025-04-10T05:25:54.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-04-10T06:14:56.000Z (over 1 year ago)
• Last Synced: 2025-06-05T17:03:54.174Z (about 1 year ago)
• Topics: data-science, machine-learning, python, regression
• Language: Jupyter Notebook
• Homepage:
• Size: 395 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# 🚀 Startup Profit Prediction

This project uses machine learning models to predict the **profit of a startup** based on R&D Spend, Administration cost, and Marketing Spend.  

It leverages both **Linear Regression** and **Random Forest Regressor**, achieving high accuracy and great visual insights.

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## 📊 Model Performance

| Model                   | R² Score |

|-------------------------|----------|

| Linear Regression       | 96.68%   |

| Random Forest Regressor | 95.08%   |

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## 📸 Actual vs Predicted Plot

![Actual vs Predicted for linear regression](visualize/actualvspredicted_linear_regression.png)

![Actual vs Predicted for random forest regression](visualize/actualvspredicted_random_forest_regression.png)

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## ⚙️ Technologies Used

- Python

- Jupyter Notebook

- pandas, NumPy

- scikit-learn

- matplotlib, seaborn

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## ▶️ How to Run

1. Clone the repo:

   ```bash

   git clone https://github.com/your-username/startupprediction.git

   cd startupprediction