데이터 공부를 기록하는 공간

import pandas as pd import numpy as np train = pd.read_csv("./house-prices-advanced-regression-techniques/train.csv") test = pd.read_csv("./house-prices-advanced-regression-techniques/test.csv") y_train = train['SalePrice'] # null data 확인 ex_cols = train.isnull().sum().sort_values(ascending=False).head(6).index.tolist() # null data drop train.drop(ex_cols,axis=1, inplace=True) train.drop('Id',ax..

kaggle > restaurant revenue 1. EDA import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns import warnings warnings.filterwarnings('ignore') pd.options.display.max_columns=None train_df = pd.read_csv("./restaurant-revenue-prediction/train.csv") test_df = pd.read_csv("./restaurant-revenue-prediction/test.csv") train_df['part'] = 'train' test_df['part'] = 'test..