智能批量计算新年活动

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression

# 假设我们有一个包含新年活动数据的CSV文件
data = pd.read_csv('new_year_activity_data.csv')

# 数据清洗与预处理
data.dropna(inplace=True)  # 删除缺失值
data['date'] = pd.to_datetime(data['date'])  # 转换日期格式

# 特征工程
data['day_of_year'] = data['date'].dt.dayofyear  # 提取一年中的第几天作为特征

# 划分训练集和测试集
X = data[['day_of_year']]
y = data['sales']
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# 构建预测模型
model = LinearRegression()
model.fit(X_train, y_train)

# 预测与评估
predictions = model.predict(X_test)
accuracy = model.score(X_test, y_test)
print(f"Model Accuracy: {accuracy}")