DGU B.a.f 9th Activity Projects

Project Period: Jun 2021 - Aug 2022

This repository showcases a series of data analysis and machine learning projects undertaken in DGUBAF, the Statistics Club at Dongguk University. This project is a collaborative work with fellow team members of B.a.f. Unauthorized distribution of the contents within this repository is not allowed.

BAF Website: https://www.dgubaf.com/

Project Highlights

1. Seoul Bike (따릉이) Rental Prediction

• Period: Sep 2021 - Nov 2021
• Description: Developed a predictive model to forecast the rental demand for Seoul's public bicycle sharing service, Ttareungyi. We utilized a Random Forest Regressor to analyze various factors influencing rental volume.
• Keywords: Regression, Random Forest, Time Series, Bike Sharing

2. Climate Technology Classification (NLP Study)

• Period: Dec 2021 - Feb 2022
• Description: The project involved processing natural language data related to climate technologies using the Konlpy for Korean text. The processed data was then fed into a neural network to classify climate technology labels.
• Keywords: NLP, Konlpy, Text Classification, Climate Tech

3. Exercise Action Classification

• Period: Mar 2022 - May 2022
• Description: Focused on classifying different exercise actions using sensor data. We implemented a 1D Convolutional Neural Network (1D CNN), a suitable architecture for sequential data, to accurately categorize various movement labels.
• Keywords: 1D CNN, Deep Learning, Human Activity Recognition, Sensor Data

4. Wildfire Risk Analysis

• Period: June 2022 - July 2022
• Description: Participated in the '2022 Statistical Data Analysis and Utilization Competition' organized by Statistics Korea. This project involved analyzing environmental factors and meteorological information to assess the risk of large-scale wildfires.
• Keywords: Environmental Data, Disaster Prediction