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深度学习 复习
E7 Q-learning
以下是使用SARSA算法修改后的代码：
8.7.2 支持向量机手写数字识别
from os import mkdir, listdir
from os.path import isdir, basename
from random import choice, randrange
from string import digits
from PIL import Image, ImageDraw # pillow
from PIL.ImageFont import truetype
from sklearn import svm
from sklearn.model_selection import train_test_split
8.6.2 决策树算法原理与Sklearn 实现
import numpy as np
from sklearn import tree
X = np.array([[0,0,0],[0,0,1],[0,1,0],[0,1,1],[1,0,0],[1,0,1],[1,1,0],[1,1,1]])
y = [0,1,1,1,2,3,3,4]
clf = tree.DecisionTreeClassifier()
clf.fit(X,y)
clf.predict([[1,0,0]])