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|4 |Analyze|データから価値を創出できるか診断する|[](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-ml-enablement-handson/blob/main/notebooks/02_analyze.ipynb)|[](https://youtu.be/iYV4slOPoYE)|
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|5 |Prepare|診断結果に基づきデータを充足する|[](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-ml-enablement-handson/blob/main/notebooks/03_prepare.ipynb)|[](https://www.youtube.com/watch?v=Uwim4GSkSjw)|
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|6 |Preprocess|機械学習モデルが認識しやすいデータにする|[](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-ml-enablement-handson/blob/main/notebooks/04_preprocess.ipynb)|[](https://youtu.be/T0Y0bFLfrsE)|
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|7 |Train|機械学習モデルを学習する|[](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-ml-enablement-handson/blob/main/notebooks/05_train.ipynb)|(Comming Soon)|
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|7 |Train|機械学習モデルを学習する|[](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-ml-enablement-handson/blob/main/notebooks/05_train.ipynb)|[](https://youtu.be/-SzZJmZWmOs)|
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|8 |Test|機械学習モデルを評価する|[](https://studiolab.sagemaker.aws/import/github/aws-samples/aws-ml-enablement-handson/blob/main/notebooks/06_test.ipynb)|(Comming Soon)|
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