This project leverages time series analysis techniques, specifically the ARIMA model, to forecast sales and revenue trends using historical sales data in Python. Through data preprocessing, feature ...

Timer-XL: Long-Context Transformers for Unified Time Series Forecasting None ICLR 2025 In-context Time Series Predictor None ICLR 2025 TimeKAN: KAN-based Frequency Decomposition Learning Architecture ...

Several fields have developed parallel approaches to infer causal relations from observational time series. Yet, these methods are easy to misunderstand and often controversial. Here, we provide an ...