This repo has been developed for the Istanbul Data Science Bootcamp, organized in cooperation with İBB and Kodluyoruz. Prediction for house prices was developed using the Kaggle House Prices - Advanced Regression Techniques competition dataset.

My solution to House-Prices Advanced Regression Techniques, A beginner-friendly project on Kaggle.

2022-01 데이터마이닝이론및응용 프로젝트 <장애인 이동권 제고를 위한 콜택시 이용편의 증진 방안 : 서울특별시를 중심으로>

2019 "添翼"人工智能创新应用大赛-智慧教育通道 22/155

Goal is to predict the concrete compressive strength using collected data

Multi-Class Obesity Risk Prediction Project | Prediction of obesity risk in individuals using various factors, which is related to cardiovascular disease.

Forecast hourly interstate 94 traffic volume with different Deep Learning approaches

Primary aim of this project is to build machine learning model that should be able to predict the solar power output of the 12 different location of the Northern Hemisphere according to the provided dataset.

Rusty Bargain is a used car buying and selling company that is developing an app to attract new buyers. My job as data science is to create a model that can determine the market value of a car.

Honors Thesis Research

Creating a ML-model that forecasts the price of a car (historic data)

Machine Learning model for price prediction using an ensemble of four different regression methods.

Compare ticket price and distance between car, train and bus + Price prediction + dynamic visualization

My capstone project for the Institute of Data investigates the metadata of songs on Spotify, building a predictive model to project a track's popularity on Spotify using its audio features.

Learning gradient boosting algorithms

This represents the car's price predictor based on LightGBM + Optuna. The final goal is to use it to predict my father's car price.

DS & ML Bootcamp Final Team Project