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vijaygupta18 avatar vijaygupta18 commented on July 29, 2024
  1. Let's visualize the time-series elements of the data to understand the patterns.
  2. The input dimension of the model learned with Train data should be well thought out and predicted with Test data.
  3. The task is to forecast the total amount of products sold in every shop for the test set. Note that the list of shops and products slightly changes every month. Creating a robust model that can handle such situations is part of the challenge.

Dataset: https://www.kaggle.com/c/competitive-data-science-predict-future-sales/data

Assign me this issue under Hacktoberfest'21.

Okay Create a Pr I'll merge it after verification.

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harshita9621 avatar harshita9621 commented on July 29, 2024

Why this issue are closed

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vijaygupta18 avatar vijaygupta18 commented on July 29, 2024

Why this issue are closed

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vijaygupta18 avatar vijaygupta18 commented on July 29, 2024

Why this issue are closed

let me know when you create your pr.

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harshita9621 avatar harshita9621 commented on July 29, 2024

Why this issue are closed

let me know when you create your pr.

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harshita9621 avatar harshita9621 commented on July 29, 2024

today

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