Hello, my name is Halil Kolatan. I am a Master's student at Ankara University Department of Physics. At the same time, I am studying Computer Programming associate degree at Anadolu University. I am interested in data and database systems.
This project aims to classify music genres using machine learning algorithms. The goal is to build a model that can accurately predict the mood of a given piece of music based on audio features. The dataset used for this project is obtained from the Spotify API, which provides a wide range of audio features for each track.
This project involves analyzing the data obtained from the IMDb website using web scraping method and predicting the ratings of movies with a series of linear regression models.
This project uses NYC Census, NYC Restaurant Inspection Results, and MTA Subway data to study the link between socio-economic factors and subway ridership in New York City. We analyze subway usage patterns, demographics, and more to gain insights. The project is part of WomanTechWomanYes, promoting women in technology.
In this project, I analyzed the sleep efficiency dataset. By analyzing the factors affecting sleep duration and sleep efficiency, I tried to make inferences based on gender and age.
This booklet has been prepared for a mini bootcamp. I took part in preparing, organizing and editing the contents of the booklet. The booklet is written in Turkish.
