커널 한글화

Purpose

케글의 여러 유명 커널들을 필사하는 동시에 한국어로 번역하며 스터디하고자 합니다.

Ways to study

Kaggle의 유명 커널을 선택 후 필사
설명 및 해설 부분 한국어 번역

Contents

Structured Data
- Titanic: Machine Learning from Disaster
- Porto Seguro’s Safe Driver Prediction
  - Data Preparation & Exploration by 김보배
- IEEE Fraud Detection
  - 🕵️ IEEE Fraud Detection - First Look and EDA by 김보배
  - XGB Fraud with Magic - 0.9600 by 김보배
- Home Credit Default Risk
- Zillow Prize: Zillow’s Home Value Prediction (Zestimate)
  - Simple Exploration Notebook - Zillow Prize by 김보배
- Google Cloud & NCAA® ML Competition 2020-NCAAW
  - NCAAW20 (finally) no-leak starter with LGB by 김찬란
- M5 Forecasting - Accuracy
  - M5 Competition EDA models by 이힘찬
  - M5 Forecasting - Starter Data Exploration by 문성채
- Abstraction and Reasoning Challenge
  - Cellular Automata as a Language for Reasoning by 이힘찬
Unstructured Data
- Time-series
  - DJIA 30 Stock Time Series
    - Intro to Recurrent Neural Networks LSTM | GRU by 문성채
    - Everything You Can Do With A Time-series by 문성채
- Text(NLP)
  - Spooky Author Identification
    - Spooky NLP and Topic Modelling tutorial by 신재영

Contributor

김보배
- 3주차: Data Preparation & Exploration
- 4주차: Simple Exploration Notebook - Zillow Prize
- 5주차: 🕵️ IEEE Fraud Detection - First Look and EDA
- 8주차: XGB Fraud with Magic - 0.9600
김찬란
- 6주차: NCAAW20 (finally) no-leak starter with LGB
신재영
- 6주차: EDA To Prediction(DieTanic)
- 9주차: Titanic_Top_4_with_ensemble_modeling
- 10주차: Spooky NLP and Topic Modelling tutorial
이리나
- 6주차: Introduction to Ensembling,Stacking in Python.ipynb
이힘찬
- 6주차: EDA To Prediction(DieTanic)
- 8주차: Titanic Advanced Feature Engineering Tutorial