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# Machine Learning Journey 🚀  

Welcome to my Machine Learning repository! Here, I document my progress, experiments, and projects as I explore various ML techniques, from basic concepts to advanced models.  

## 📌 Repository Overview  

This repository includes:  
- 📊 **Data Preprocessing**: Cleaning, transforming, and normalizing datasets.  
- 🏗 **Supervised Learning**: Classification and regression models (e.g., Decision Trees, SVM, Random Forests).  
- 🤖 **Deep Learning**: Neural networks, CNNs, and RNNs.  
- 🔍 **Anomaly Detection**: Autoencoders for detecting unusual patterns.  
- 📡 **NLP & Computer Vision**: Text classification, image recognition, and more.  

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