Retour à Demand Forecasting Using Time Series
Avis et commentaires pour d'étudiants pour Demand Forecasting Using Time Series par LearnQuest
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À propos du cours
This course is the second in a specialization for Machine Learning for Supply Chain Fundamentals. In this course, we explore all aspects of time series, especially for demand prediction. We'll start by gaining a foothold in the basic concepts surrounding time series, including stationarity, trend (drift), cyclicality, and seasonality. Then, we'll spend some time analyzing correlation methods in relation to time series (autocorrelation). In the 2nd half of the course, we'll focus on methods for demand prediction using time series, such as autoregressive models. Finally, we'll conclude with a project, predicting demand using ARIMA models in Python.
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par Michail K
•18 sept. 2021
par SERDAR F
•13 sept. 2022
par Khoa N M
•5 nov. 2021
par Hediyeh S
•11 mars 2022
par Sebastian R
•27 sept. 2021
par florence b
•20 sept. 2021
par Brandon B
•9 mars 2022
par irem
•18 janv. 2022
par Javier A N
•30 mai 2022
par Serge K
•7 déc. 2021
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