l train and evaluate multiple time-series forecasting models using the Store Item Demand Forecasting Challenge dataset from Kaggle. This dataset has 10 different stores and each store has 50 items, i.e. total of 500 daily level time series data for five years (2013–2017).

Traffic Congestion Prediction on highways in Taiwan

Time-Series analysis, statistical and machine learning models for forecasting, regression, and classification

Time Series Analysis of All India Price Index up till January 2019

Forecasting solar energy generation in South Australia

Este projeto utiliza dbt para o tratamento de dados, que são aplicados em business intelligence com dashboards, e em data science para previsão de demanda, utilizando séries temporais hierarquizadas com modelos ARIMA e regressão linear múltipla