Every day hundreds of thousands of people go to the shops. However, a customer's visit does not yet mean selling the goods. In the era of huge competition, every entrepreneur involved in retail trade faces the challenge of attracting a potential buyer and finalizing the transaction. To do so, it is necessary to know the customer and his needs. This task can be made easier by computer vision technologies in cooperation artificial intelligence.
This article is the first part of a miniseries, raising the subject of climbing, skitouring and other mountain sports analysis. We would use data provided by a website camptocamp.org (licensed CC-BY-SA).
The purpose of this article is to introduce the reader into time series analysis field. We will focus on emphasizing the difference between time series and other forms of data and we will introduce selected data science methods useful in time series analysis.<
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