Projects
Here you can find the projects I have completed before. If you have any questions about these projects, do not hesitate to contact me.
Deep Steganography
In this project, another image was hidden inside an image using artificial neural networks, and the hidden image was successfully extracted by developing a second model. This process is used in many different areas, but encrypted message transfer is the primary use. This project has not been published anywhere, you can contact us for details.
Anomaly Detection
Being able to detect when there is a problem is vital for companies in order to solve that problem. In this project, some technical data was examined and a machine learning model was created to detect anomalies. Thus, data with abnormal values could be captured and intervened.
Future Forecast
Making a future prediction about a data provides great convenience for making correct planning on that subject. In this project, a model that can make future predictions about various data within the company was developed and the results were examined and included in the planning process. In this project, Facebook's Prophet model, one of the most well-known models in this field, was used for anomaly detection.
PCA with Numpy
PCA (Principle Component Analysis) is a mathematical method that deals with reducing the dimensionality of a high-dimensional matrix while preserving the maximum amount of information possible. In this project, I developed this process from scratch using only the numpy library. Reducing the dimensionality of a matrix reduces the computational cost and in some cases increases the performance of the model. It is also used to reduce high-dimensional data to low dimensions and visualize it.
