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혜온의 이것저것
케글 필사 - 이유한님 커리큘럼 따라하기 본문
https://kaggle-kr.tistory.com/32
Binary classification : Tabular data
1st level. Titanic: Machine Learning from Disaster
- 타이타닉 튜토리얼 1 - Exploratory data analysis, visualization, machine learning - 3/16(수) 완료
- EDA To Prediction(DieTanic) - 3/21(월) 완료
- Titanic Top 4% with ensemble modeling - 3/23(수) 완료
- Introduction to Ensembling/Stacking in Python - 3/30(수) 완료
2nd level. Porto Seguro’s Safe Driver Prediction
- Data Preparation & Exploration - 4/8(금) 완료
- Interactive Porto Insights - A Plot.ly Tutorial - 4/13(수) 완료
- XGBoost CV (LB .284) - 6/7(화) 완료
- Porto Seguro Exploratory Analysis and Prediction - 6/8(수) 완료
3rd level. Home Credit Default Risk
- Introduction: Home Credit Default Risk Competition - 6/14(화) 완료
- Introduction to Manual Feature Engineering - 6/28(화) 완료
- Stacking Test-Sklearn, XGBoost, CatBoost, LightGBM - 7/1(금) 완료
- LightGBM 7th place solution - 7/14(목) 완료
Multi-class classification : Tabular data
1st level. Costa Rican Household Poverty Level Prediction
- A Complete Introduction and Walkthrough - 8/3(수) 완료
- 3250feats->532 feats using shap[LB: 0.436] - 8/10(수) 완료
- 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
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
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