机器学习每周挑战——基于时间序列的商店销售数据预测

Dataset Description

In this competition, you will predict sales for the thousands of product families sold at Favorita stores located in Ecuador. The training data includes dates, store and product information, whether that item was being promoted, as well as the sales numbers. Additional files include supplementary information that may be useful in building your models.

File Descriptions and Data Field Information

train.csv

  • The training data, comprising time series of features store_nbr , family , and onpromotion as well as the target sales.
  • store_nbr identifies the store at which the products are sold.
  • family identifies the type of product sold.
  • sales gives the total sales for a product family at a particular store at a given date. Fractional values are possible since products can be sold in fractional units (1.5 kg of cheese, for instance, as opposed to 1 bag of chips).
  • onpromotion gives the total number of items in a product family that were being promoted at a store at a given date.

test.csv

  • The test data, having the same features as the training data. You will predict the target sales for the dates in this file.
  • The dates in the test data are for the 15 days after the last date in the training data.

sample_submission.csv

  • A sample submission file in the correct format.

stores.csv

  • Store metadata, including city , state , type , and cluster.
  • cluster is a grouping of similar stores.

oil.csv

  • Daily oil price. Includes values during both the train and test data timeframes. (Ecuador is an oil-dependent country and it's economical health is highly vulnerable to shocks in oil prices.)

holidays_events.csv

  • Holidays and Events, with metadata
  • NOTE: Pay special attention to the transferred column. A holiday that is transferred officially falls on that calendar day, but was moved to another date by the government. A transferred day is more like a normal day than a holiday. To find the day that it was actually celebrated, look for the corresponding row where type is Transfer. For example, the holiday Independencia de Guayaquil was transferred from 2012-10-09 to 2012-10-12, which means it was celebrated on 2012-10-12. Days that are type Bridge are extra days that are added to a holiday (e.g., to extend the break across a long weekend). These are frequently made up by the type Work Day which is a day not normally scheduled for work (e.g., Saturday) that is meant to payback the Bridge.
  • Additional holidays are days added a regular calendar holiday, for example, as typically happens around Christmas (making Christmas Eve a holiday).

Additional Notes

  • Wages in the public sector are paid every two weeks on the 15 th and on the last day of the month. Supermarket sales could be affected by this.
  • A magnitude 7.8 earthquake struck Ecuador on April 16, 2016. People rallied in relief efforts donating water and other first need products which greatly affected supermarket sales for several weeks after the earthquake.

这里的代码是kaggle中一位大佬的代码,这里我只是看懂了代码所表达的意思,如果各位想学习一下,可以私信我要源码,或者去kaggle上找这篇原作,非常厉害的一位大佬。由于代码太多,且环境是jupyter notebook,代码块也非常多,复制粘贴太麻烦。因此我这里使用截图。

相关推荐
前沿科技说i5 小时前
2026年AI大模型API中转站:主流服务商性能与成本
人工智能
黄啊码7 小时前
【黄啊码】程序员真正该担心的,不是 AI 会写代码
人工智能
随意起个昵称8 小时前
区间dp-基础题目1(石子合并)
算法·动态规划
weixin_468466858 小时前
Ava 2.0 智能应用场景落地指南
人工智能·自然语言处理·大模型·智能交互·ava
John_ToDebug8 小时前
MCP 深度解析:大模型的“万能插头”
人工智能·经验分享·ai
吞下星星的少年·-·8 小时前
线段树模板
算法
浦信仿真大讲堂8 小时前
CST 仿真软件与 AI 融合的工程应用实战
人工智能·仿真软件·达索仿真·达索软件
mit6.8248 小时前
A Software Engineer‘s Apology | CODA
人工智能
段一凡-华北理工大学8 小时前
2026 高炉炼铁智能化技术全景与演进路径~系列文章11:演进路径与行业未来
大数据·网络·人工智能·算法·工业智能体·高炉炼铁智能化
小脑斧1239 小时前
AI技能化落地:从对话式大模型到可生产、可复用的AI工程体系
人工智能·skills·openclaw·hermes·marvis