问题描述
除了观看很多YouTube视频和视频之外，这对机器学习来说是一种全新的体验使用一些演示.
Extremely new to Machine Learning, aside from watching a lot of YouTube Videos & using some of the demos's.
我正在寻找预测"项目中的帮助/指导.我希望使用机器学习来提高我们的销售预测的准确性.
I'm looking for some help/guidance in a Forecasting project. I'm looking to use Machine Learning to improve the accuracy of our Sales Forecasting.
我有2000年产品的10年历史销售数据.我希望能够预测这些产品在未来12个月的销售情况.
I have 10 years worth of historic sales data for 2000 products. I'd like to be able to predict the sales of these products for the next 12 months.
我将如何仅使用1个数据源(即历史销售数据)来实现这一目标?
How would I go about achieving this with only 1 data source, ie the historic sales data?
提前谢谢！
推荐答案
我有一个示例实验可以开始. https://gallery.azure.ai/Experiment/Retail-with-R-forecast-1
I have one sample experiment you can start with. https://gallery.azure.ai/Experiment/Retail-with-R-forecast-1
而且，我们有很多实验模板，您可以在AI画廊中参考这些模板.请尽情探索.
And also, we have a lot of experiments templates you can refer to in AI gallery. Please enjoy exploring.
此致
雨桐
这篇关于寻找合适的模型-预测未来的销售的文章就介绍到这了，希望我们推荐的答案对大家有所帮助，也希望大家多多支持！