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]