Top Time-Series-based Kaggle Competitions and How they can Help you Learn Different Concepts.

Accuracy competition: This competition hosted by Walmart aimed to forecast daily sales of 3,049 products in 10 stores over a period of 28 days. Participants were required to forecast the sales of each product for each day of the competition using historical sales data provided by Walmart. This competition taught participants how to deal with a large dataset with multiple features and how to use various time-series forecasting techniques, such as ARIMA and Prophet. The Rossmann Store Sales competition: This competition aimed to forecast the daily sales of 1,115 Rossmann stores located in Germany. Participants were required to forecast sales for the next six weeks, taking into account factors such as promotions, school holidays, and store closures.