From the course: Data Science on Google Cloud Platform: Predictive Analytics
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Upload files to Cloud Storage - Google Cloud Tutorial
From the course: Data Science on Google Cloud Platform: Predictive Analytics
Upload files to Cloud Storage
- [Instructor] Cloud ML only works off source files. They're not available to cloud storage. Hence, we need to upload all input files, whether it's for model building or for predictions into a cloud storage bucket. To do this, let's go to the cloud storage dashboard. We already have a bucket called exercise-lil. We will create a data tree called predictive under it by using the create folder option. Then, we can upload the web-browsing-data.csv file into that folder, by using the Upload files command. The file is now uploaded into the bucket. We can access this import file now using the URL GS://exercise-lil/predictive/web-browsing-data.csv.
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