📊 CodeAlpha Data Science Internship Projects

👨‍💻 Intern Name

Affan Nadeem

🏢 Internship Provider

CodeAlpha

🧠 Domain

Data Science & Machine Learning

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📌 Overview

This repository contains machine learning projects completed as part of the CodeAlpha Data Science Internship, focusing on real-world datasets, clean workflows, and practical ML applications.

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✅ Completed Tasks

🔹 Task 1: Iris Flower Classification

• Supervised classification
• Feature-based species prediction
• Model evaluation and visualization

🔹 Task 3: Car Price Prediction

• Regression modeling
• Feature engineering
• Model selection & evaluation
• Real-world price estimation use case

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🛠️ Technologies Used

• Python
• Pandas, NumPy
• Scikit-learn
• Matplotlib, Seaborn
• Jupyter Notebook

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📂 Repository Structure

CodeAlpha-Tasks/
│
├── Iris-Classification/
├── Car-Price-Prediction/
└── README.md

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## 🎯 Learning Outcomes

- Strong understanding of ML pipelines
- Data preprocessing & feature engineering
- Model evaluation techniques
- Writing clean, modular ML code
- Real-world ML problem solving

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## 📌 Note

These projects are developed for **educational and portfolio purposes** under the CodeAlpha Internship Program.