A curated collection of small-scale AI and Machine Learning projects exploring
data processing, model training, and algorithm experimentation.
Each project focuses on understanding and testing different ML concepts — from
📈 data preprocessing and 🧮 feature engineering to 🧠 neural networks and 🔍 model evaluation.
| Category | Tools / Libraries |
|---|---|
| 🐍 Language | Python |
| 🧠 Core ML | Scikit-learn, TensorFlow, PyTorch |
| 📊 Data | NumPy, Pandas |
| 🧪 Experiments | Custom algorithms, model tuning, data visualization |
To learn, experiment, and build intuition for machine learning through
hands-on, modular projects that emphasize clarity and understanding over complexity.
- Regression & Classification Models
- Clustering & Dimensionality Reduction
- Neural Network Architectures
- Natural Language Processing (NLP)
- Data Cleaning & Feature Selection
- Model Evaluation & Optimization