🎓 Placement Prediction Model

This project is a machine learning-based placement prediction system that predicts whether a student will be placed based on their IQ level and CGPA. It is designed to help students and institutions understand the relationship between academic performance and placement success.

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📌 Features

• Predicts placement status (Placed or Not Placed) using IQ and CGPA
• Trained on a clean dataset with supervised learning models
• Supports model evaluation with accuracy, confusion matrix, etc.
• Easy to understand, extend, and deploy

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🧠 Model Overview

• Input Features: IQ, CGPA
• Target Output: Placement Status
• Algorithm Used: Logistic Regression (can be extended to other models)

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🛠️ Technologies Used

• Python
• Pandas
• NumPy
• scikit-learn
• Matplotlib / Seaborn (for visualization)

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🚀 Getting Started

1. Clone the repository:

   git clone https://github.com/Vivek-ML001/Palcement_prediction.git
   cd Palcement_prediction
   

python -m venv placement_env placement_env\Scripts\activate # For Windows

pip install -r requirements.txt

python placement_predictor.py

Palcement_prediction/ ├── data/ │ └── student_data.csv ├── placement_predictor.py ├── model.pkl ├── README.md └── requirements.txt

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Let me know if you want this as a Jupyter Notebook project, want to add graphs, or include a Streamlit web app version – I’ll tailor the README further! Created with ❤️ by Vivek Kumar