북마크498 선형 회귀분석의 기초 https://datascienceschool.net/view-notebook/58269d7f52bd49879965cdc4721da42d/ Data Science School Data Science School is an open space! datascienceschool.net 2020. 5. 24. Flask API for scikit learn https://github.com/amirziai/sklearnflask/ amirziai/sklearnflask Flask API for training and predicting using scikit learn models - amirziai/sklearnflask github.com 2020. 5. 24. [MachineLearning] scaler, model 저장하고 읽기 https://m.blog.naver.com/PostView.nhn?blogId=wideeyed&logNo=221330321950&proxyReferer=https:%2F%2Fwww.google.co.kr%2F [MachineLearning] scaler, model 저장하고 읽기 joblib의 dump & load를 이용하여 scaler, model 저장하고 읽기 sklearn.externals에 포함된 "joblib"(... blog.naver.com 2020. 5. 24. Amazon SageMaker 試しメモ https://qiita.com/yokomakura/items/d91c86f57f55ea3b5fcf Amazon SageMaker 試しメモ - Qiita 投稿について この投稿は自分用のメモです。データはkaggleのTitanicデータを使用しています。 他の方の参考にもなれば。 環境準備 BUCKET = 'バケット名' KEY = '使用するCSVファイルのパス' P... qiita.com 2020. 5. 24. Build multiclass classifiers with Amazon SageMaker linear learner https://aws.amazon.com/ko/blogs/machine-learning/build-multiclass-classifiers-with-amazon-sagemaker-linear-learner/ Build multiclass classifiers with Amazon SageMaker linear learner | Amazon Web Services Amazon SageMaker is a fully managed service for scalable training and hosting of machine learning models. We’re adding multiclass classification support to the linear learner algorithm in Amazon.. 2020. 5. 24. 이전 1 ··· 95 96 97 98 99 100 다음 728x90