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9 simple steps on how to proceed with a time-limited project in the field of Data Science

Practical example with Datathon2020 Article(content) recommender case If you are in the field of retail and e-commerce, most probably you have had the problem of choosing the right approach and steps to follow in a project with strict and short deadlines? Sometimes it even happens whenever you work with freelancers, with which you have different point of view on the things. In this article we will share the steps we used in our own experience from the past few days. We participated in a limited time competition, where the timing is the key to success. Last week the Datathon2020 took place and we decided to work on one of the given projects. They provide a lot of free data and a specific case, on which to work. We personally liked the most one of the cases – Article recommender case. It is in our field of interest and the things we learned will definitely help us in the future....
Deploy Data Science model in production on AWS Elastic Beanstalk using flask application for your ecommerce or retail site

Deploy Data Science model in production on AWS Elastic Beanstalk using flask application for your ecommerce or retail site

“Every Data scientist soon or later is challenged by flask 🙂” Sergi Sergiev loves to say. Many of us data scientists are doing various models with exposure to different segments like Retail, Ecommerce, Finance, Gaming industry or many other, but we all want to see our models live in production and normally there is a need to deal with developers. Our work as a consultant is to define(finalize) the task, dive deeper, explore and clean the data, redefine the requirements, speak with the domain experts and then start making or using AI magic with our tools. We can produce different models for prediction, forecasting, item recommendations, object detection or many others, but we don’t really know how to deploy it in production. Therefore we decided at Shopup to show you how to setup your first ready to deploy model by yourself without the support of developers or devops. It is so easy to create your API interface which can...