Kaggle 썸네일형 리스트형 Using XGBoost For Feature Selection by Mei-Cheng Shih (With Python) 이 커널은 JMT5802의 포스팅에서 영감을 받음. 이 커널의 목적은 boruta 패키지의 중요요소인 RF(랜덤포레스트)를 대채하기 위해 XGBoost를 사용하는 것이 목적이다. 이 Case에서 XGBoost가 RF보다 더 좋은 예측을 내기 때문에, 이 kernel의 결과는 이를 잘 나타낸다. 더욱이, 이 코드는 필자가 사용했던 데이터전처리 과정을 포함한다.먼저 전처리와 데이터를 불러오기 위한 패키지를 불러온다.In [1]:from scipy.stats.mstats import mode import pandas as pd import numpy as np import time from sklearn.preprocessing import LabelEncoder """ Read Data """ train=p.. 더보기 A study on Regression applied to the Ames dataset by juliencs (With Python) https://www.kaggle.com/juliencs/house-prices-advanced-regression-techniques/a-study-on-regression-applied-to-the-ames-dataset/notebook ##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.########################################################################## Introduction이 커.. 더보기 RandomForestRegressor by BradenFitz-Gerald (With Python) https://www.kaggle.com/dfitzgerald3/house-prices-advanced-regression-techniques/randomforestregressor/notebook##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.##########################################################################Import LibrariesIn [1]:import pandas as p.. 더보기 Fun with Real Estate by Stephanie Kirmer (With R) https://www.kaggle.com/skirmer/house-prices-advanced-regression-techniques/fun-with-real-estate-data/notebook ##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.##########################################################################Fun with Real EstateData Driven Real Esta.. 더보기 Detailed Data Exploration in Python by Angela (With Python) https://www.kaggle.com/xchmiao/house-prices-advanced-regression-techniques/detailed-data-exploration-in-python/comments##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.##########################################################################OverallIn [1]:# This Python 3 en.. 더보기 Ensemble Modeling : Stack Model Example by J.Thompson (with R) https://www.kaggle.com/jimthompson/house-prices-advanced-regression-techniques/ensemble-model-stacked-model-example ##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.##########################################################################Ensemble Modeling: Stack Model Exam.. 더보기 Housing Data Exploratory Analysis by AiO (With R) https://www.kaggle.com/notaapple/house-prices-advanced-regression-techniques/detailed-exploratory-data-analysis-using-r##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.##########################################################################Housing Data Exploratory Analysi.. 더보기 Boruta Feature Importance Analysis by Jim Thompson (With R) https://www.kaggle.com/jimthompson/house-prices-advanced-regression-techniques/boruta-feature-importance-analysis/comments ##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.########################################################################## Boruta Feature Importance A.. 더보기 Regularized Linear Models by Alexandru Papiu (With Python) ##########################################################################본 게시글은 Kaggle Competition에서 House prices의 TOP Kernel 중 하나를 번역한 것임.저작권에는 문제가 없어 보이나 문제가 될시 바로 삭제하겠음.########################################################################## Trying out a linear model:Author: Alexandru Papiuhttps://www.kaggle.com/apapiu/house-prices-advanced-regression-techniques/regularized-linear-models x.. 더보기 Data Description Sold! How do home features add up to its price tag? Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence.집을 구매하려는 사람에게 그들의 꿈의 집을 설명해 보라고 해보자. 그들.. 더보기 이전 1 다음