help in a work

Hi to Everyone :
Im student in Data Analytics, and I’m Working with knime. I have a final assignment to do. My database is like 10.000 rows. I have data from a Supermarket and their list products Id, there are like 1300 difference products. I have to create a model that can predict price at each product for each store. I have been searching and I don’t find a solution for it. Can someone give any idea to how i can clean my data or what model can be usseful for my work.?

Thanks

Hi @camvinga_19 -

Since this is an assignment, we might be able to give you some general pointers… but it would be helpful first to see what your data looks like.

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Hi;
maybe these links give you an idea

https://www.knime.com/price-benchmarking

https://www.knime.com/predicting-stock-value-changes

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Hi
i think my data its a little more reduced than that. I only have product sell price and product store sales that is what im looking for. A predicted number of sales for each product from each store. Any more ideas???

tnakss

how can i show you my data? I have a train and test data.

Hi @camvinga_19,

I suggest to take a look at course KNIME offers where basics of what is required in a data science project are given :
https://www.knime.com/knime-introductory-course

To find example workflows check KNIME Hub.

To share data you can upload it to forum:

UploadButton

Br,
Ivan

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