![30 Days of ML with Kaggle [Day 15~30]- Competition Submission(XGBRegressor)](http://img1.daumcdn.net/thumb/R800x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdn%2FbSf7da%2FbtrdK7E3fJn%2FKutetpC3fzvCBg0ZKjkekk%2Fimg.png "30 Days of ML with Kaggle [Day 15~30]- Competition Submission(XGBRegressor)")
train 25개의 column과 300000개의 row로 구성된 train data set을 이용하여 동일한 column과 200000개로 구성된 test data set에 대하여 target을 예측하는 competition에 참여했다. 30 Days of ML을 마무리하는..
30 Days of ML with Kaggle [Day 15~30]- Competition Submission(XGBRegressor)에 대한 요약내용입니다.
자세한 내용은 아래에 원문링크를 확인해주시기 바랍니다.
원문링크 : 30 Days of ML with Kaggle [Day 15~30]- Competition Submission(XGBRegressor)
![30 Days of ML with Kaggle [Day 14]-XGBoost, Data Leakage](http://img1.daumcdn.net/thumb/R800x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdn%2F3qj1M%2FbtrcM0Uj9dM%2FkKtCH0kCK1KEZ5dG4w7a11%2Fimg.png "30 Days of ML with Kaggle [Day 14]-XGBoost, Data Leakage")
![30 Days of ML with Kaggle [Day 7]-Working with External Libraries](http://img1.daumcdn.net/thumb/R800x0/?scode=mtistory2&fname=https%3A%2F%2Fblog.kakaocdn.net%2Fdn%2FlQKIf%2FbtrbLeMLQ8d%2FF02B5r878CO6NfMw0ZERQ1%2Fimg.png "30 Days of ML with Kaggle [Day 7]-Working with External Libraries")
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