https://github.com/kwonnayeon/team-projects-archive

A collection of team projects
https://github.com/kwonnayeon/team-projects-archive

catboost exploratory-data-analysis machine-learning recommendation-systems tabnet team-project

Last synced: about 1 month ago
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A collection of team projects

• Host: GitHub
• URL: https://github.com/kwonnayeon/team-projects-archive
• Owner: KwonNayeon
• License: mit
• Created: 2024-08-02T00:13:06.000Z (7 months ago)
• Default Branch: main
• Last Pushed: 2024-12-25T10:36:38.000Z (about 2 months ago)
• Last Synced: 2024-12-25T11:27:19.180Z (about 2 months ago)
• Topics: catboost, exploratory-data-analysis, machine-learning, recommendation-systems, tabnet, team-project
• Language: Python
• Homepage:
• Size: 1020 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Team Projects Archive

A repository showcasing various analytical and modeling projects developed by our team. Currently includes job recommendation modeling and data analysis projects. Please note that dataset files are not included due to contractual obligations with the competition organizer.

## 📂 Projects Overview

### 1. JobCare Recommendation System

A machine learning-based job recommendation system utilizing TabNet and CatBoost.

**Main File**

- `Jobcare_Recommendation_Modeling_TabNet_CatBoost.py`

  - Implementation of job recommendation system using TabNet and CatBoost models

  - Includes data preprocessing, feature engineering, model training, and evaluation

**Team Members**

- Nayeon Kwon

- Minkyeong Sim

- Minkyeong Kim

- Younghoon Yoo

- Hyunwoo Im

### 2. LPoint Data Analysis

Exploratory Data Analysis (EDA) and statistical analysis of LPoint dataset.

**Main Files**

- `LPoint_Data_Analysis_KR_Summary.pdf`

  - Comprehensive report detailing key findings and insights

- `lpoint_eda.py`

  - EDA script for analyzing the LPoint dataset

**Team Members**

- Nayeon Kwon

- Minkyeong Sim

- Minkyeong Kim

## 📜 License

This project is licensed under the MIT License. See the [LICENSE](LICENSE) file for details.