Automobile dataset for used Car Price Analysis to predict the price of a vehicle with their features and performance factor to provide the exact value of a vehicle for buyer seller satisfaction using exploratory data analysis and machine learning models.

This repository will work around solving the problem of food demand forecasting using machine learning.

A Machine Learning Case Study based on helping the company target customers by predicting the customer loyalty score based on the transactions data.

9th place solution in "Santa 2020 - The Candy Cane Contest"

This project aims to analyze and model the information retrieved by a real-world IoT system in order to understand which are the relationships in the dataset chosen between the dependent variables and the selected target feature. To help the understanding of the inner working of the models adopted, several machine learning interpretability techn…

EDA & Linear Regression Models

Silver medal solution for the "M5 Forecasting - Accuracy" Kaggle competition

Machine learning model that shows whether the crops are damaged or not. If they are damaged then by which factors means that whether they are damaged by the excessive use of pesticides or other factors that can be predicted by our model.

Santander Customer Transaction Prediction

Time series forecasting for energy consumption, ASHRAE dataset on Kaggle. Data wrangling and FE (Pandas), regression (RF, LightGBM, DNN).

☀️ 데이터 파이프라인 프로젝트 기상으로 예측하는 서울시 코로나 확진자 수 앱 😷

This machine learning model was developed for "House Prices - Advanced Regression Techniques" competition in Kaggle by using several machine learning models such as Random Forest, XGBoost and LightGBM.

Car price prediction with lightGBM regressor

Use regression techniques to predict the number of times a news article will be shared online

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

Analysis of time series data from IoT devices

A final project of Data Science Bootcamp Batch 20 in Rakamin Academy.