🧠 Machine Learning & Deep Learning Projects

Welcome to my collection of machine learning and deep learning projects.
Each folder contains a Jupyter notebook and detailed README describing the project, dataset, and results.

---

📚 Project List

1️⃣ Deep Learning Project (Final)

Trained and evaluated multiple deep learning architectures on image data.
📘 Tech: Python, pytorch 🔗 View Notebook on nbviewer

---

2️⃣ Deep Q-Learning for Lunar Lander

Implemented a Deep Q-Network (DQN) to control the OpenAI Gym Lunar Lander environment.
📘 Tech: PyTorch, Reinforcement Learning
🔗 View Notebook on nbviewer

---

3️⃣ RNN for Medical Predictions

Built a Recurrent Neural Network (RNN) to predict medical events from time-series patient data.
📘 Tech: TensorFlow, LSTM, Pandas
🔗 View Notebook on nbviewer

---

4️⃣ SFML Final Project

Explored supervised feature-based machine learning models for classification tasks.
📘 Tech: scikit-learn, NumPy, Matplotlib
🔗 View Notebook on nbviewer

---

5️⃣ Breast Cancer Classification

Classified csv file contraining features of microcalcification for breast cancer detection tissue using CNNs.
📘 Tech: Python, scikit-learn, pandas 🔗 View Notebook on nbviewer

---

7️⃣ Evidential Deep Learning

Implemented a LeNet-based model on the MNIST dataset to estimate prediction uncertainty using Evidential Deep Learning with a Dirichlet output layer based on teddykoker_repository. 📘 Tech: Python, PyTorch, uncertainty estimation 🔗 View Notebook on nbviewer