Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
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Updated
Mar 9, 2024 - Jupyter Notebook
Arima, Sarima, LSTM, Prophet, DeepAR, Kats, Granger-causality, Autots
Forecasting Monthly Sales of French Champagne - Perrin Freres
Trabalho realizado para aprovaΓ§Γ£o na disciplina de AnΓ‘lise de SΓ©ries Temporais. Foi realizado a anΓ‘lise e modelagem da serie temporal da entrega de fertilizantes ao mercado brasileiro em mil toneladas no perΓodo mensal de janeiro de 1998 atΓ© abril de 2020 (Fonte: ANDA)
Unsupervised customer segmentation on the UCI Online Retail II dataset using RFM features and KMeans. Includes full pipeline: data cleaning, feature engineering, outlier handling, model selection (Elbow & Silhouette), and actionable segment insights for targeted marketing.
Forecasting time series data using Holt Winter's Model in Python
Prediction of future global land temperature based on accuracy of different models and evaluating which model performs better
Uses public information request data from https://github.com/fivethirtyeight/uber-tlc-foil-response/tree/master/uber-trip-data to map pick-ups to boroughs and forecasts rides.
The given project focuses on the problem β forecasting the production of natural gas in Australia.
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