Sales Prediction Model.pdf

F99160511622.pdf
Preview of Sales Prediction Model
🔗 Source: ijitee.org
📊 Size: 368 KB
👤 Author: Sanjay. N Gunjal, D.B Kshirsagar, B.J Dange, H.E Khodke, C.S Kulkarni
⬇️ Downloads: 130

Summary

A machine learning approach is proposed for a Big-Mart sales prediction framework, utilizing algorithms such as GLL, GBT, and Decision Trees to identify a reliable sales trend prediction mechanism and maximize income. Sales forecasting is crucial for strategic planning and decision-making, enabling companies to increase market growth and revenue. The Gradient Boost Algorithm is demonstrated to be the best fit model for forecasting and predicting future sales, predicting which product will be sold in what quantity. The objectives include converting data into a suitable format for machine learning algorithms, determining important features influencing product sales, and choosing the best effective machine learning algorithm for sales forecasting.

Description

A machine learning approach is proposed for a Big-Mart sales prediction framework, utilizing algorithms such as GLL, GBT, and Decision Trees to identify a...

Technical Information

  • File Format: PDF
  • File Size: 368 KB
  • Pages: 7
  • Language: EN
  • Author: Sanjay. N Gunjal, D.B Kshirsagar, B.J Dange, H.E Khodke, C.S Kulkarni
  • Total Downloads: 130
  • Last Updated: 1 week ago

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