원본 보기역링크PDF로 내보내기맨 위로 Share via Share via... Twitter LinkedIn Facebook Pinterest Telegram WhatsApp Yammer Reddit Teams최근 바뀜Send via e-Mail인쇄고유링크 × 목차 How to Win a Data Science Competition: Learn from Top Kagglers Wekk 4 Week 3 Week 2 Week 1 링크 관련 문서 How to Win a Data Science Competition: Learn from Top Kagglers Wekk 4 Hyperparameter tuning Hyperparameter tuning I Week 3 Metrics optimization Classification metrics review Approaches for target metric optimization Regression metrics optimization Week 2 Exploratory data analysis Building intuition about the data Reading material for video 2 Exploring anonymized data Notebook for video 3 screencast Visualizations Dataset cleaning and other things to check Exploratory data analysis Springleaf competition EDA I Springleaf competition EDA II Numerai competition EDA Validation and overfitting Data splitting strategies Problems occurring during validation Data leakages Week 1 Welcome to "How to win a data science competition" Competition mechanics Recap of main ML algorithms Software Hardware requirements 링크 https://www.coursera.org/learn/competitive-data-science 관련 문서 Coursera Kaggle open/competitive-data-science.txt 마지막으로 수정됨: 2020/07/15 07:38저자 127.0.0.1