Forecasting order volumes for Glovo

Centered around the forecasting of weekly orders, the project utilized data from Glovo. Features such as days of the week, months, and seasons were generated for enhanced analysis. An Exploratory Data Analysis (EDA) was conducted to identify trends, revealing a notable daily pattern, and outliers were examined for a more comprehensive understanding of the data. Upon the data being found to be stationary, the transition to the modeling phase was made. The SARIMA model was employed for its exceptional capacity to handle seasonality, resulting in predictions of high accuracy.