#wannabeeeeeee the best DataScientist

In [1]: # 기본 라이브러리 import import pandas as pd import numpy as np import seaborn as sns import matplotlib.pyplot as plt import statistics from sklearn.metrics import mean_squared_error In [2]: # 데이터 불러오기 (train, test, sample_submission) train= pd.read_csv('C:/Users/20229069/Desktop/superdata/train.csv', encoding='UTF-8') test= pd.read_csv('C:/Users/20229069/Desktop/superdata/test.csv', encoding='..

# import basic library import numpy as np import pandas as pd import sklearn from sklearn.experimental import enable_iterative_imputer from sklearn.linear_model import LinearRegression from sklearn.model_selection import StratifiedKFold from sklearn.model_selection import train_test_split from sklearn.metrics import roc_auc_score from xgboost import XGBRegressor from xgboost import XGBClassifier..

https://www.kaggle.com/c/tabular-playground-series-sep-2021/overview/description Tabular Playground Series - Sep 2021 | Kaggle www.kaggle.com ◎ Setting¶ 1. Calling Basic Libraries¶ In [2]: pip install catboost Requirement already satisfied: catboost in c:\work\envs\datascience\lib\site-packages (0.26.1) Requirement already satisfied: six in c:\work\envs\datascience\lib\site-packages (from catboo..