Skip to content

onishchenkod/grocery_sales_analysis

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 

Repository files navigation

Corporacion Favorita grocery sales forecasting


Feature engineering and forecasting modeling for the Kaggle competition.

Algorithms used:

  • Gradient Boosting
  • LSTM Recurrent Neural Network
  • Random Forest
  • Extra Trees Regression
  • Ridge Regression.

Model blending is used to acheive the best accuracy.

Solution ranked top 8% on Kaggle Competition (123rd out of 1675) on now-defunct account (Ortan Farnafe).

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

 
 
 

Contributors