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4️⃣ AI-ML-Mini-Projects (AI-ML MINI PROJECTS)

# 🤖 AI & ML Mini Projects

This repository contains multiple **mini projects** for practicing Artificial Intelligence & Machine Learning concepts.  

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## 📂 Projects Included
1. **Classification Models**  
   - Logistic Regression, Decision Tree, Random Forest, SVM, KNN  
   - Accuracy comparison & selection of best model  

2. **Regression Models**  
   - Linear & Polynomial Regression, Decision Tree, Random Forest, SVR  

3. **Data Preprocessing & Feature Engineering**  
   - Handling missing values, encoding, scaling, correlation analysis  

4. **Visualization**  
   - Matplotlib & Seaborn plots  

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## 🚀 Features
- Multiple datasets included.  
- Step-by-step Jupyter notebooks.  
- Saved trained models using **Pickle**.  
- Modular & reusable ML pipeline.  

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## ▶️ How to Run
```bash
# Clone repo
git clone https://github.com/talha37000/AI-ML-Mini-Projects.git
cd AI-ML-Mini-Projects

# Open Notebook
jupyter notebook

📌 Future Improvements

Add deep learning mini projects (ANN, CNN).

Expand datasets for more experiments.

Create interactive GUIs for models.

👤 Author

Muhammad Talha Mubeen
🎓 BSCS - Batch 2k21
📧 [muhammadtalhamubeen37@gmail.com]