python linear regression
from sklearn.linear_model import LinearRegression
#x, y = np.array([0,1,2,3,4,5])
model = LinearRegression().fit(x.reshape(-1,1), y.reshape(-1,1))
r_sq = model.score(x.reshape(-1,1), y.reshape(-1,1))
q = model.intercept_
m = model.coef_
y_fit = np.array([i*m[0] for i in x]+q[0])real python linear regression
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=0)Copyright © 2021 Codeinu
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