项目视频讲解: 基于SVD矩阵分解的用户购物篮预测分析实战_哔哩哔哩_bilibili
主要代码:
# 导入需要的库
import pandas as pd
import numpy as np
import seaborn as sns
import matplotlib.pyplot as plt
from scipy.sparse.linalg import svds
from sklearn.preprocessing import MinMaxScaler
# 读取数据
data = pd.read_csv("shopping_trends.csv")
print(data.head())
# 查看数据维度
print(data.shape)
# 查看数据信息
print(data.info())
print(data.isna().sum())
# 查看重复值
print(data.duplicated().sum())
# 判断使