import pandas as pd
        # 讀取銷售系統(tǒng)的CSV文件
        sales_data = pd.read_csv('sales_data.csv')
        
        # 從CRM系統(tǒng)獲取數(shù)據(jù)
        import requests
        response = requests.get('https://crm.example.com/api/customers')
        crm_data = response.json()
        
        # 將JSON轉(zhuǎn)換為DataFrame
        crm_df = pd.DataFrame(crm_data)
        
        # 合并兩個數(shù)據(jù)集
        combined_data = pd.merge(sales_data, crm_df, on='customer_id')
        
        # 輸出結(jié)果
        print(combined_data.head())
      

走班排課軟件

        from sklearn.model_selection import train_test_split
        from sklearn.linear_model import LinearRegression
        
        # 準(zhǔn)備特征和標(biāo)簽
        X = combined_data[['product_type', 'region']]
        y = combined_data['sales']
        
        # 劃分訓(xùn)練集和測試集
        X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)
        
        # 訓(xùn)練模型
        model = LinearRegression()
        model.fit(X_train, y_train)
        
        # 預(yù)測
        predictions = model.predict(X_test)
        print(predictions)