{"id":17672297,"url":"https://github.com/scholarsmate/ibm-pot","last_synced_at":"2025-10-15T21:58:58.653Z","repository":{"id":148193100,"uuid":"84599188","full_name":"scholarsmate/ibm-pot","owner":"scholarsmate","description":"IBM Proof Of Technology","archived":false,"fork":false,"pushed_at":"2017-04-06T16:39:14.000Z","size":8039,"stargazers_count":0,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-02-05T17:11:49.601Z","etag":null,"topics":["data-science","ibm","proof-of-technology"],"latest_commit_sha":null,"homepage":null,"language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/scholarsmate.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2017-03-10T20:43:22.000Z","updated_at":"2017-03-20T19:16:39.000Z","dependencies_parsed_at":null,"dependency_job_id":"876ea797-793e-4afb-a236-d011252a647b","html_url":"https://github.com/scholarsmate/ibm-pot","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scholarsmate%2Fibm-pot","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scholarsmate%2Fibm-pot/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scholarsmate%2Fibm-pot/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/scholarsmate%2Fibm-pot/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/scholarsmate","download_url":"https://codeload.github.com/scholarsmate/ibm-pot/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":246336333,"owners_count":20761030,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-science","ibm","proof-of-technology"],"created_at":"2024-10-24T04:07:40.396Z","updated_at":"2025-10-15T21:58:53.614Z","avatar_url":"https://github.com/scholarsmate.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# IBM Proof of concept - Data Science Experience\n\n# Instructions:\n\n# Step 1. Get on IBM Data Science Experience (DSX).\n\n## Create an account.\n\n1.  Go to [http://datascience.ibm.com/](http://datascience.ibm.com/)\n\n2.  Click the signup button on the top right\n\n\u003e \u003cimg src=\"https://raw.githubusercontent.com/scholarsmate/ibm-pot/master/images/DSX%20Sign%20Up.png\" width=\"624\" height=\"300\"\u003e\n\n3. Enter your email and press continue. Note: If you have a Bluemix account you can click continue with Bluemix credentials, otherwise click create your Bluemix account and enter your email.\n\n\u003e \u003cimg src=\"https://raw.githubusercontent.com/scholarsmate/ibm-pot/master/images/Enter%20Email.png\" width=\"624\" height=\"300\"\u003e\n\n4. You should get an email from \"ibmacct\" with your IBMid Confirmation code\n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/confirmation-code.png?raw=true\" width=\"624\" height=\"300\"\u003e\n\n5. Then, on the next page fill in the corresponding fields and click CREATE ACCOUNT\n\n \u003e \u003cimg src=\"https://raw.githubusercontent.com/scholarsmate/ibm-pot/master/images/Enter.png\" width=\"624\" height=\"300\"/\u003e\n\n6. In the new page, write your email and click CONTINUE\n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/enter-email.png?raw=true\"/\u003e\n\n7. Write your recently generated password and click on SIGN IN\n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/enter-password.png?raw=true\"/\u003e\n\n8. It will take a minute to create your account. When ready, click on Get Started.\n\n \u003e You are now in the Data Science Experience landing page. Your environment is automatically set up with one Apache Spark instance and 5 GB of object storage. From here you can explore any of the tutorials, videos, sample notebooks, totorials or articles in the community.\n\n\u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/landing.png?raw=true\"/\u003e\n\n# Step 2. Create a project\n\n1. Click on the left hand side \"hamburger\" icon and then click on My Projects to see a list of your projects. You should only see a default project.\n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/my-projects.png?raw=true\"/\u003e\n\n2. Click on the create project icon on the top right of the project list.\n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/create-new-project.png?raw=true\" /\u003e\n\n3. Type a name for your project. For instance, \"DSX Lab\". A Spark service and an object storage will be automatically selected as well as a container with a default name. A container is a directory on the object storage. Click on Create.\n\n \u003e You are now in your new project where you can create notebooks and data assets as well as add collaborators.\n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/wow-lab-to-production/blob/master/images/create-project.png?raw=true\" width=\"512\" height=\"499\" /\u003e\n\n# Step 3. Download Repository.\n## If you are at IBM Booth, then you can skip this part as the files are located on your desktop.\n\n 1. Download Repository from github https://github.com/IBMDataScience/WOW2016 to local directory.\n \n \u003e  \u003cimg src=\"https://raw.githubusercontent.com/scholarsmate/ibm-pot/master/images/Zip.png\"/\u003e\n \n 2. Unzip repo zip files locally.\n\n# Step 4. Create a new notebook.\n\n 1.  From the your project page, on the \"Overview\" tab click \"add notebook\"\n\n 2.  Click “Add Notebook” \n \n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/WOW2016/blob/master/images/NewNotebook.png\"/\u003e\n \n 3. Enter a notebook Name, Description and pick from File, click browse and pick VehicleAccidentLab.ipynb file downloaded. \n\n \u003e  \u003cimg src=\"https://github.com/IBMDataScience/WOW2016/blob/master/images/NBFF.png\" width=\"512\"/\u003e\n\n 3. Click on Create Notebook\n\n# Step 5. Follow Instructions in Notebook.\n\n\n\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscholarsmate%2Fibm-pot","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fscholarsmate%2Fibm-pot","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fscholarsmate%2Fibm-pot/lists"}