Kaggle 필사 관리 페이지

커리큘럼 : 캐글 코리아 블로그

커리큘럼 참여 방법

• 필사적으로 필사하세요
• 커널의 A 부터 Z 까지 다 똑같이 따라 적기!
• 똑같이 3번적고 다음 커널로 넘어가시면 됩니다.

Binary classification : Tabular data

1st level. Titanic: Machine Learning from Disaster

• 타이타닉 튜토리얼 1 - Exploratory data analysis, visualization, machine learning
  캐글필사1-1-1-1  캐글필사 1-1-1-2   
•  EDA To Prediction(DieTanic)
  캐글필사1-1-2-1  캐글필사 1-1-2-2
• Titanic Top 4% with ensemble modeling
  캐글필사1-1-3-1
• Introduction to Ensembling/Stacking in Python
  캐글필사1-1-4-1

 

 

2nd level. Porto Seguro’s Safe Driver Prediction

• Data Preparation & Exploration
  캐글필사1-2-1-1
• Interactive Porto Insights - A Plot.ly Tutorial
• XGBoost CV (LB .284)
  캐글필사1-2-3-1
• Porto Seguro Exploratory Analysis and Prediction
  캐글필사1-2-4-1

3rd level. Home Credit Default Risk

• Introduction: Home Credit Default Risk Competition
  캐글필사1-3-1-1
• Introduction to Manual Feature Engineering
  캐글필사1-3-2-1
• Stacking Test-Sklearn, XGBoost, CatBoost, LightGBM
  캐글필사1-3-3-1
• LightGBM 7th place solution
  캐글필사1-3-4-1(지금 넘 어렵다. 다른 걸 먼저 보도록 하자 200516/previous pipeline 이후부터 Go)

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]
• XGBoost

Binary classification : Image classification

1st level. Statoil/C-CORE Iceberg Classifier Challenge

• Keras Model for Beginners (0.210 on LB)+EDA+R&D
• Transfer Learning with VGG-16 CNN+AUG LB 0.1712
• Submarineering.EVEN BETTER PUBLIC SCORE until now.
• Keras+TF LB 0.18

Multi-class classification : Image classification

1st level. TensorFlow Speech Recognition Challenge

• Speech representation and data exploration
• Light-Weight CNN LB 0.74
• WavCeption V1: a 1-D Inception approach (LB 0.76)

Regression : Tabular data

1st level. New York City Taxi Trip Duration

• Dynamics of New York city - Animation
• EDA + Baseline Model
• Beat the benchmark!

2nd level. Zillow Prize: Zillow’s Home Value Prediction (Zestimate)

• Simple Exploration Notebook - Zillow Prize
• Simple XGBoost Starter (~0.0655)
• Zillow EDA On Missing Values & Multicollinearity
• XGBoost, LightGBM, and OLS and NN

Object segmentation : Deep learning

1st level. 2018 Data Science Bowl

• Teaching notebook for total imaging newbies
• Keras U-Net starter - LB 0.277
• Nuclei Overview to Submission

Natural language processing : classification, regression

1st level. Spooky Author Identification

• Spooky NLP and Topic Modelling tutorial
• Approaching (Almost) Any NLP Problem on Kaggle
• Simple Feature Engg Notebook - Spooky Author

2nd level. Mercari Price Suggestion Challenge

• Mercari Interactive EDA + Topic Modelling
• A simple nn solution with Keras (~0.48611 PL)
• Ridge (LB 0.41943)
• LGB and FM [18th Place - 0.40604]

3rd level. Toxic Comment Classification Challenge

• [For Beginners] Tackling Toxic Using Keras
• Stop the S@#$ - Toxic Comments EDA
• Logistic regression with words and char n-grams
• Classifying multi-label comments (0.9741 lb)

Other dataset : anomaly detection, visualization

1st level. Credit Card Fraud Detection

• In depth skewed data classif. (93% recall acc now)
• Anomaly Detection - Credit Card Fraud Analysis
• Semi-Supervised Anomaly Detection Survey

2nd level. Kaggle Machine Learning & Data Science Survey 2017

• Novice to Grandmaster
• What do Kagglers say about Data Science ?
• PLOTLY TUTORIAL - 1