K-NN Study
import numpy as np import matplotlib.pyplot as plt from sklearn.neighbors import KNeighborsClassifier from sklearn.model_selection import train_test_split fish_length = [25.4, 26.3, 26.5, 29.0, 29.0, 29.7, 29.7, 30.0, 30.0, 30.7, 31.0, 31.0, 31.5, 32.0, 32.0, 32.0, 33.0, 33.0, 33.5, 33.5, 34.0, 34.0, 34.5, 35.0, 35.0, 35.0, 35.0, 36.0, 36.0, 37.0, 38.5, 38.5, 39.5, 41.0, 41.0, 9.8, 10.5, 10.6, 1..
2022. 4. 18.
Linear Regression Study
import numpy as np import matplotlib.pyplot as plt import pandas as pd from sklearn.neighbors import KNeighborsClassifier from sklearn.neighbors import KNeighborsRegressor from sklearn.linear_model import LinearRegression from sklearn.model_selection import train_test_split perch_length = np.array( [8.4, 13.7, 15.0, 16.2, 17.4, 18.0, 18.7, 19.0, 19.6, 20.0, 21.0, 21.0, 21.0, 21.3, 22.0, 22.0, 22..
2022. 4. 17.
