Store Sales - Time Series Forecasting

Overview

This competition challenges you to forecast grocery sales for thousands of items across different stores. You'll practice time-series forecasting using a dataset from a large Ecuadorian retailer, learning valuable skills applicable to real-world business problems. It's a great 'getting started' competition to build your machine learning expertise.

Requirements

This is a 'Getting Started' competition with an ongoing, rolling timeline and no cash prizes, making it ideal for beginners. You can participate individually or form teams. Your task is to predict 'sales' for each 'id' in the test set. Submissions must be made via Kaggle Notebooks, and the output file should be a CSV named 'submission.csv' with 'id' and predicted 'sales' values.

Prizes

This competition is a 'Getting Started' competition and does not offer cash prizes. The focus is on learning and improving your machine learning and time-series forecasting skills.