Select Language

AI社区

公开数据集

预测未来销售补充

预测未来销售补充

1.47M
168 浏览
0 喜欢
0 次下载
0 条讨论
Business,Computer Science Classification

数据结构 ? 1.47M

    Data Structure ?

    * 以上分析是由系统提取分析形成的结果,具体实际数据为准。

    README.md

    # Kaggle Challenge: Predict Future Sales. This dataset aims to publish the files that I will use on the Kaggle challenge called [Predict Future Sales](https://www.kaggle.com/c/competitive-data-science-predict-future-sales) # Data - I have downloaded **test** and **train** data from the [competition webpage](https://www.kaggle.com/c/competitive-data-science-predict-future-sales/data). - I have downloaded **shop** and **item** information data from the English translations of [@deargle](https://www.kaggle.com/deargle) from [this post](https://www.kaggle.com/c/competitive-data-science-predict-future-sales/discussion/54949). Then I have made some changes in the data described in this [R file](https://github.com/kazimanil/predict-future-sales/blob/master/data-manipulation-once-used.R). - I have collected historical **USD/RUB** rates from [Investing.com](https://www.investing.com/currencies/usd-rub-historical-data). I have used the most recent data for the days which does not include a rate info (i.e. Saturdays and Sundays which markets are closed). - I have prepared a calendar depicting public holidays and weekends. Public Holiday info for Russia is collected from [this site](https://www.officeholidays.com/countries/russia/).
    ×

    帕依提提提温馨提示

    该数据集正在整理中,为您准备了其他渠道,请您使用

    注:部分数据正在处理中,未能直接提供下载,还请大家理解和支持。
    暂无相关内容。
    暂无相关内容。
    • 分享你的想法
    去分享你的想法~~

    全部内容

      欢迎交流分享
      开始分享您的观点和意见,和大家一起交流分享.
    所需积分:0 去赚积分?
    • 168浏览
    • 0下载
    • 0点赞
    • 收藏
    • 分享