파라미터조정 (2) 썸네일형 리스트형 [Python] 9. Logistic Regression (로지스틱 회귀) from sklearn.datasets import make_classification from sklearn.linear_model import LogisticRegression from sklearn.model_selection import train_test_split from sklearn.model_selection import cross_val_score import sklearn.metrics as metrics from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler import pandas as pd import numpy as np import matplotlib.pyplot as.. [Python] 4. 다중선형회귀 : 릿지L2규제, 라쏘L1규제, 엘라스틱넷 import pandas as pd import numpy as np import seaborn as sns from sklearn.datasets import load_boston, load_iris from sklearn.linear_model import Ridge,Lasso,ElasticNet,LinearRegression from sklearn.preprocessing import PolynomialFeatures from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler from sklearn.neural_network import MLPRegressor from sklearn.model_.. 이전 1 다음
