M5 Forecasting - Accuracy：EDA

時間 2021-01-11

標籤比賽 m5 eda 简体版

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sales_train_validation.csv 參考： Python版本EDA+傳統時間序列方法：https://www.kaggle.com/tarunpaparaju/m5-competition-eda-models model：naive approach, moving average, Holt linear, exponential smoothing, ARIMA, and

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1. kaggle——銷量預測的baseline（M5 Forecasting - Accuracy）
2. IBM System x3650 M5 IMM配置
3. kaggle比賽實踐M5-baseline研讀（三）M5 best till now public python lgbm version with score 0.60869
4. An overview of time series forecasting models
5. Forecasting: Principles and Practice 筆記
6. kaggle-Corporación Favorita Grocery Sales Forecasting
7. 14-----Hourly Probabilistic Forecasting of Solar Power
8. DeepAR:Probabilistic forecasting with autoregressive recurrent network
9. Lenovo system x3500 m5 安裝顯卡
10. IBM X3650 M5服務器配置RAID10

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