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SAP Learning

Developing Regression Models with the Python Machine Learning Client for SAP HANA | JP

via SAP Learning

Overview

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In this enablement you will apply the machine learning workflow using the Python machine learning Client for SAP HANA, also known as hana-ml. You will look at the steps from feature extraction to model evaluation, using the California housing dataset as scenario.

Syllabus

  • SAP HANA 機械学習の概要
    • 環境の設定
    • SAP HANA DataFrame を使用したデータの探索
    • SAP HANA 機械学習の概要
  • 回帰モデルの構築と評価
    • SAP HANA PAL による回帰モデルのトレーニング
    • モデル評価および最適化の理解
    • 回帰モデルの構築と評価

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