파이썬공부 (6) 썸네일형 리스트형 [Python] 19. MLP : pima-indians 예제 from sklearn.model_selection import train_test_split, GridSearchCV from sklearn.model_selection import validation_curve from sklearn.pipeline import make_pipeline from sklearn.preprocessing import StandardScaler from sklearn.metrics import confusion_matrix import sklearn.metrics as metrics from sklearn.ensemble import BaggingClassifier, RandomForestClassifier, AdaBoostClassifier from sklearn.ens.. [Python] 13. KNN분류 from sklearn.datasets import make_classification, load_iris from sklearn.cluster import KMeans import numpy as np import pandas as pd import seaborn as sb import matplotlib.pyplot as plt import mglearn from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import GridSearchCV import warnings warnings.simplefilter('igno.. [Python] 7. Sigmoid 함수 import numpy as np import pandas as pd import matplotlib.pyplot as plt import math print(2**2) print(2**3) print(2**(-2)) print(2**(-3)) [OUT]: 4 8 0.25 0.125 math.e [OUT]: 2.718281828459045 Sigmoid (시그모이드 함수) x=0: 0.5이상의 값을 뱉음 def sigmoid(z): return 1/(1+math.e**(-z)) print(sigmoid(-100)) print(sigmoid(-10)) print(sigmoid(-1)) print(sigmoid(0)) print(sigmoid(1)) print(sigmoid(10)) print(sigmoid.. [Python] 3. 다중선형회귀 import pandas as pd import numpy as np import seaborn as sns from sklearn.datasets import load_boston, load_iris from sklearn.datasets import fetch_california_housing from sklearn.linear_model import LinearRegression,Ridge, SGDRegressor from sklearn.neural_network import MLPRegressor from sklearn.model_selection import train_test_split from sklearn.model_selection import GridSearchCV from sklear.. [Python] 2. 정규화 : 상관관계, 다중공선성 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 LinearRegression,Ridge, SGDRegressor from sklearn.neural_network import MLPRegressor from sklearn.model_selection import train_test_split from sklearn.model_selection import GridSearchCV from sklearn.model_selection import cross_val_score from sklearn... [Python] 6. 표준정규분포(z검정,t검정) import numpy as np import pandas as pd import matplotlib.pyplot as plt import math 정규분포 확률분포함수 pmf 확률질량함수(probability mass function) pdf 확률밀도함수(probability density function) cdf 누적분포함수(cumulative distribution function) ppf 누적분포함수의 역함수(inverse cumulative distribution function) sf 생존함수(survival function) = 1 - 누적분포함수 isf 생존함수의 역함수(inverse survival function) rvs 랜덤 표본 생성(random variable sampling) x.. 이전 1 다음
