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