Ml Project
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Predicting Walmart Weekly Sales using Machine Learning
Walmart Inc. is an American multinational retail corporation that operates a chain of hypermarkets (also called supercenters), discount department stores, and grocery stores from the United States, headquartered in Bentonville, Arkansas. Read more
About Data :
The Dataset contains historical sales data for 45 Walmart stores located in different regions. Each store contains a number of departments, and you are tasked with predicting the department-wide sales for each store from Kaggle.
In addition, Walmart runs several promotional markdown events throughout the year. These markdowns precede prominent holidays, the four largest of which are the Super Bowl, Labor Day, Thanksgiving, and Christmas. The weeks including these holidays are weighted five times higher in the evaluation than non-holiday weeks.
Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges.
Purpose
- We are using this dataset to predict Weekly Sales of Wallmart by using various Machine Learning models.
- Dataset contains many departments, and we must project the sales for each department in each store. To add to the challenge, selected holiday markdown events are included in the dataset. These markdowns are known to affect sales, but it is challenging to predict which departments are affected and the extent of the impact.
How to Run the Code
You can execute the code by using the "Run" button at the top of this page and selecting "Run on Colab". You can make changes and save your own version of the notebook to Jovian by executing the following cells:
!pip install jovian --upgrade --quietimport jovian
