src/py/Ch01/code_1_5.py
src/py/Ch01/lab_1_2.py
src/py/Ch02/code_2_1.py
src/py/Ch02/lab_2_2.py
src/py/Ch02/lab_2_3.py
src/py/Ch02/lab_2_4.py
src/py/Ch02/code_2_14.py
src/py/Ch02/code_2_15.py
src/py/Ch02/lab_2_5.py
src/py/Ch02/lab_2_6.py
src/py/Ch03/code_3_4.py
src/py/Ch03/code_3_5.py
src/py/Ch03/lab_3_1.py
src/py/Ch03/lab_3_2.py
src/py/Ch03/lab_3_3.py
src/py/Ch03/lab_3_4.py
src/py/Ch03/lab_3_5.py
src/py/Ch04/code_4_3.py
src/py/Ch04/code_4_5.py
src/py/Ch04/code_4_6.py
src/py/Ch04/code_4_6_1.py
src/py/Ch04/code_4_6_2.py
src/py/Ch04/code_4_6_3.py
src/py/Ch04/lab_4_1.py
src/py/Ch04/lab_4_2.py
src/py/Ch04/lab_4_3.py
src/py/Ch04/lab_4_4.py
src/py/Ch04/lab_4_5.py
src/py/Ch04/lab_4_6.py
src/py/Ch04/code_4_7.py
src/py/Ch04/code_4_8.py
src/py/Ch04/lab_4_7.py
src/py/Ch04/lab_4_8.py
src/py/Ch04/lab_4_9.py
src/py/Ch05/code_5_1.py
src/py/Ch05/code_5_3.py
src/py/Ch05/code_5_4.py
src/py/Ch05/code_5_5.py
src/py/Ch05/code_5_6.py
src/py/Ch05/lab_5_1.py
src/py/Ch05/lab_5_2.py
src/py/Ch05/lab_5_3.py
src/py/Ch05/lab_5_4.py
src/py/Ch05/lab_5_5.py
src/py/Ch05/code_5_7.py
src/py/Ch05/lab_5_6.py
src/py/Ch05/code_5_8.py
src/py/Ch05/code_5_8_1.py
src/py/Ch05/code_5_8_2.py
src/py/Ch05/lab_5_7.py
src/py/Ch05/lab_5_8.py
src/py/Ch05/lab_5_9.py
src/py/Ch05/lab_5_10.py
src/py/Ch05/lab_5_11.py
src/py/Ch05/lab_5_12.py
src/py/Ch05/lab_5_13.py
src/py/Ch05/code_5_9.py
src/py/Ch05/code_5_10.py
src/py/Ch06/code_6_2.py
src/py/Ch06/code_6_3.py
src/py/Ch06/code_6_3_1.py
src/py/Ch06/code_6_3_2.py
src/py/Ch06/code_6_4.py
src/py/Ch06/code_6_5.py
src/py/Ch06/code_6_6.py
src/py/Ch06/code_6_6_1.py
src/py/Ch06/code_6_6_2.py
src/py/Ch06/code_6_7.py
src/py/Ch06/code_6_7_1.py
src/py/Ch06/code_6_7_2.py
src/py/Ch06/lab_6_1.py
src/py/Ch06/lab_6_2.py
src/py/Ch06/code_6_8.py
src/py/Ch06/code_6_8_1.py
src/py/Ch06/code_6_8_2.py
src/py/Ch06/code_6_9.py
src/py/Ch06/code_6_9_1.py
src/py/Ch06/code_6_9_2.py
src/py/Ch06/code_6_10.py
src/py/Ch06/code_6_10_1.py
src/py/Ch06/code_6_10_2.py
src/py/Ch06/code_6_11.py
src/py/Ch06/lab_6_3.py
src/py/Ch06/lab_6_4.py
src/py/Ch06/lab_6_5.py
src/py/Ch06/lab_6_6.py
src/py/Ch06/code_6_12.py
src/py/Ch06/lab_6_7.py
src/py/Ch06/code_6_13.py
src/py/Ch06/my_func.py
src/py/Ch06/code_6_14.py
src/py/Ch06/code_6_14_1.py
src/py/Ch06/code_6_14_2.py
src/py/Ch06/code_6_14_3.py
src/py/Ch06/code_6_14_4.py
src/py/Ch07/lab_7_1.py
src/py/Ch07/lab_7_2.py
src/py/Ch07/lab_7_3.py
src/py/Ch07/code_7_8.py
src/py/Ch07/code_7_11.py
src/py/Ch07/code_7_11_1.py
src/py/Ch07/code_7_11_2.py
src/py/Ch07/lab_7_4.py
src/py/Ch07/code_7_13.py
src/py/Ch07/code_7_14.py
src/py/Ch07/lab_7_5.py
src/py/Ch07/lab_7_6.py
src/py/Ch08/code_8_2.py
src/py/Ch08/lab_8_1.py
src/py/Ch08/lab_8_2.py
src/py/Ch08/code_8_6.py
src/py/Ch08/lab_8_3.py
src/py/Ch08/code_8_9.py
src/py/Ch08/lab_8_4.py
src/py/Ch08/code_8_10.py
src/py/Ch08/code_8_10_1.py
src/py/Ch08/code_8_10_2.py
src/py/Ch08/code_8_10_3.py
src/py/Ch09/lab_9_1.py
src/py/Ch09/lab_9_2.py
src/py/Ch09/lab_9_4.py
src/py/Ch09/code_9_7.py
src/py/Ch09/code_9_7_1.py
src/py/Ch09/code_9_7_2.py
src/py/Ch09/code_9_7_3.py
src/py/Ch09/code_9_7_4.py
src/py/Ch09/code_9_10.py
src/py/Ch09/lab_9_5.py
src/py/Ch09/lab_9_6.py
src/py/Ch09/lab_9_7.py
src/py/Ch09/code_9_11.py
src/py/Ch09/lab_9_8.py
src/py/Ch10/code_10_3.py
src/py/Ch10/lab_10_1.py
src/py/Ch10/code_10_5.py
src/py/Ch10/code_10_5_1.py
src/py/Ch10/code_10_5_2.py
src/py/Ch10/code_10_5_3.py
src/py/Ch10/lab_10_2.py
src/py/Ch10/lab_10_3.py
src/py/Ch10/lab_10_4.py
src/py/Ch10/lab_10_5.py
src/py/Ch10/lab_10_6.py
src/py/Ch10/code_10_19.py
src/py/Ch10/code_10_20.py
src/py/Ch12/code_12_4_1.py
src/py/Ch12/code_12_4_2.py
src/py/Ch12/code_12_5_1.py
src/py/Ch12/code_12_5_2.py
src/py/Ch12/lab_12_1.py
src/py/Ch12/code_12_8.py
src/py/Ch12/code_12_9_1.py
src/py/Ch12/code_12_9_2.py
src/py/Ch12/code_12_10_1.py
src/py/Ch12/code_12_10_2.py
src/py/Ch12/code_12_12.py
src/py/Ch12/code_12_13.py
src/py/Ch12/lab_12_2.py
src/py/Ch12/lab_12_2_test.py
src/py/Ch12/code_12_15.py
src/py/Ch12/code_12_15_1.py
src/py/Ch12/code_12_15_2.py
src/py/Ch12/lab_12_3.py
src/py/Ch12/code_12_17.py
src/py/Ch12/code_12_18.py
src/py/Ch12/code_12_18_1.py
src/py/Ch12/code_12_18_2.py
src/py/Ch12/code_12_19.py
src/py/Ch12/code_12_20.py
src/py/Ch12/lab_12_4.py
src/py/Ch12/code_12_21.py
src/py/Ch12/code_12_22.py
src/py/Ch12/lab_12_5.py
src/py/Ch12/code_12_23.py
src/py/Ch12/code_12_23_1.py
src/py/Ch12/code_12_23_2.py
src/py/Ch12/code_12_23_3.py
src/py/Ch14/code_14_7.py
src/py/Ch14/code_14_8.py
src/py/Ch14/lab_14_1.py
src/py/Ch14/code_14_9.py
src/py/Ch14/code_14_10_1.py
src/py/Ch14/code_14_10_2.py
src/py/Ch14/code_14_12.py
src/py/Ch14/lab_14_2.py
src/py/Ch14/code_14_13.py
src/py/Ch14/code_14_16.py
src/py/Ch14/code_14_17.py
src/py/Ch14/code_14_18.py
src/py/Ch14/code_14_19.py
src/py/Ch14/code_14_20.py
src/py/Ch14/code_14_22.py
src/py/Ch14/code_14_22_1.py
src/py/Ch14/code_14_22_2.py
src/py/Ch14/code_14_22_3.py
src/py/Ch14/code_14_22_4.py
src/py/Ch14/code_14_23.py
src/py/Ch14/code_14_24.py
src/py/Ch14/code_14_25.py
◀ 이전
# # 따라하며 배우는 파이썬과 데이터과학(생능출판사 2020) # 14.25 간단한 회귀모델을 만들자, 395쪽 # import pandas as pd import seaborn as sns # 시각화를 위하여 Seaborn 라이브러리를 이용함 import matplotlib.pyplot as plt import numpy as np life = pd.read_csv('d:/data/life_expectancy.csv') life.dropna(inplace = True) X = life[['Alcohol', 'Percentage expenditure', 'Polio', 'BMI', 'GDP', 'Thinness 1-19 years']] y = life['Life expectancy'] from sklearn.model_selection import train_test_split X_train, X_test, y_train, y_test = train_test_split(X, y, test_size = 0.2) from sklearn.linear_model import LinearRegression lin_model = LinearRegression() lin_model.fit(X_train, y_train) y_test_predict = lin_model.predict(X_test) from sklearn.metrics import mean_squared_error rmse = np.sqrt(mean_squared_error(y_test, y_test_predict)) print('RMSE =', rmse) plt.scatter(y_test, y_test_predict) plt.show()
