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이유한님 kaggle 필사 커리큘럼 따라하기

Binary classification : Tabular data

1st level. Titanic: Machine Learning from Disaster

  • 타이타닉 튜토리얼 1 - Exploratory data analysis, visualization, machine learning
  • EDA To Prediction(DieTanic)
  • Titanic Top 4% with ensemble modeling
  • Introduction to Ensembling/Stacking in Python

2nd level. Porto Seguro's Driver Prediction

  • Data Preparation & Exploration
  • Interactive Porto Insights - A Plot.ly Tutorial
  • XGBoost CV (LB .284)
  • Porto Seguro Exploratory Analysis and Prediction

3rd level. Home Credit Default Risk

  • Introduction: Home Credit Default Risk Competition -> Start Here: A Gentle Introduction
  • Introduction to Manual Feature Engineering
  • Stacking Test-SKlearn, XGBoost, CatBoost, LightGBM
  • LightGBM 7th place solution

Multi-class classification : Tabular data

1st level. Costa Rican Household Poverty Level Prediction

  • A Complete Introduction and Walkthrough
  • 3250feats->532 feats using shap[LB: 0.436]