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m_​001_​prepare_​data

prepare historical sales data

data of 3 month back used to predict sales coefficient. Seasonality is provided by giving the month. 2019 is training, 2018 is test data.

data of 3 month back used to predict sales coefficient. Seasonality is provided by giving the month. 2019 is training, 2018 is test data.https://forum.knime.com/t/unsupervised-machine-learning-gradient-boosting-regression/20382/6?u=mlauber71 train.parquetdata.xlsx20192018test.parquetnew_data.parquet2020 Parquet Writer Excel Reader (XLS) Column Filter Rule-basedRow Splitter ReferenceColumn Filter Parquet Writer Rule-basedRow Splitter Parquet Writer Column Filter data of 3 month back used to predict sales coefficient. Seasonality is provided by giving the month. 2019 is training, 2018 is test data.https://forum.knime.com/t/unsupervised-machine-learning-gradient-boosting-regression/20382/6?u=mlauber71 train.parquetdata.xlsx20192018test.parquetnew_data.parquet2020 Parquet Writer Excel Reader (XLS) Column Filter Rule-basedRow Splitter ReferenceColumn Filter Parquet Writer Rule-basedRow Splitter Parquet Writer Column Filter

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Created by: m_lauber
Created at: 2020-01-04
On NodePit since: 2020-01-14
Last update: 2026-09-13
Created with KNIME version: v4.1.0
Tags: preparedataregressionmodel

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