创建一个预测股价的程序.
这是一个基于Python的程序,使用流行的机器学习算法,随机森林回归来预测股价. ```python # 进口必要的库存进口numpy as np进口pandas as pd进口matplotlib.pyplot as plt从 sklearn.ensemble进口RandomForestRegressor从 sklearn.model_selection进口train_test_split从 sklearn.metrics进口mean_squared_error # 阅读包含历史股价数据的数据 = pd.read_csv'((prices.csv')数据. (((head) # 选择预测股价的相关基本功能 =数据预测价格 ([[OpenHigh', 'High', 'Light', 'Volume']]数据进口matplotlib.pyplot作为plt从 sklearn.ensemble进口RandomForestRegressor从 sklearn.model_selection进口train_test_split从 sklearn.metrics进口mean_squared_error # 阅读包含历史股价数据的数据 = pd.read_csv'(prices.csv')数据.