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EfeCicekdagi/README.md

🎓 3th-year Computer Engineering student
💻 Passionate about Artificial Intelligence, Machine Learning, and Computer Vision
🎮 Interested in Artificial Intelligence and creative coding projects
📊 Love working with time series forecasting, image processing and artificial intelligence stuff tasks


🛠️ Languages & Tools

  • Languages: Python, C#, C, Java
  • Frameworks & Libraries: TensorFlow, scikit-learn, OpenCV, Matplotlib, Pandas ,Numpy
  • Tools: Git, Anaconda, VS Code, Unity

📚 Currently Learning

  • 🧠 Advanced Artificial Intelligence models (Transformers, LSTM, CNNs)
  • 🖼️ Image Processing & Computer Vision techniques

📊 GitHub Stats

Stats Top Langs

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  1. PlusPlusPlus_Language_Interpreter PlusPlusPlus_Language_Interpreter Public

    Plus++ Language Interpreter is a command-line tool written in C that can read, parse, and execute code written in the Plus++ programming language. It allows users to run Plus++ source files and see…

    C 1 1

  2. TripReservationApplication TripReservationApplication Public

    Forked from mertaliberrak/TripReservationApplication

    Java

  3. Rock-Paper-Scissor Rock-Paper-Scissor Public

    A Rock-Paper-Scissors game using hand gesture recognition via webcam.

    Python

  4. Wind-Turbine-Power-Forecasting-with-LSTM Wind-Turbine-Power-Forecasting-with-LSTM Public

    This project focuses on forecasting wind turbine power output using an LSTM-based deep learning model. It processes historical SCADA data to train and evaluate the model, measuring performance with…

    Jupyter Notebook 1

  5. Wind-Turbine-Power-Forecasting-with-Linear-Regression-SVM Wind-Turbine-Power-Forecasting-with-Linear-Regression-SVM Public

    Python-based wind power forecasting using Linear Regression and Support Vector Regression (SVR). Features include data preprocessing, feature engineering, model training, evaluation (R² & MSE), and…

    Python

  6. Solar-Panel-Fault-Detection-with-YOLOv11-nano Solar-Panel-Fault-Detection-with-YOLOv11-nano Public

    This project uses YOLOv11-nano to detect and classify solar panel conditions into six categories: Clean, Dust, Bird, Electrical, Physical, and Snow. The goal is to automate fault detection, reduce …

    Python 4