Created an account NO 🚫 NEW PROJECT PAGE located
Note:
I selected Dataiku version 10 👇 below in order to submit this question. I have no idea what version of Dataiku. I logged in created an account that is all.
Create account
Username
Password
Top Left:
🐦, Dataiki, profile
Top Center:
My name is large black font with option to edit
Bottom half:
Dataiku Academy
Dataiku Community
Click by Click by click
I've have an account created now what?
The page that comes up, I assume is the homepage but it doesn't say homepage.
There is No new project or create a project button on display.
Where is the button 🔘 ✅. From what I understand I'm on the wrong page How do I get to the correct page, also below it says:
⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐
Adding permissions to projects is done in the ✨ PERMISSIONS✨ pane of the Security menu 🔐🔐 🔐 🔦 👁️.
⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐ ⭐
How do I get to The security menu.
I don't have an administrator so I assume by creating the account myself I am the administrator by default. I say this because researching tells me that if I do not see a new project button I need to have admin permissions.
If I'm not admin who is my admin.
I'm taking The Udemy course:
No-Code Machine Learning: Build & Deploy AI with Dataiku
- Play11. Problem Definition and Data Collection11min
- Play12. Data Preprocessing: Data Cleaning, Data Transformation, Data Reduction10min
- Play13. Titanic Dataset2min
- Play14. Demo: Kaggle5min
- Play15. Demo: Data Import and Feature Selection14min
- Play16. Demo: Handling Missing Values6min
- StartAssignment 1: Handling Missing Data
- Play17. Demo: Data Normalization4min
- Play18. Demo: Data Standardization3min
- Play19. Demo: Data Flow2min
- Play20. Demo: Model Building13min
- Play21. Demo: Modeling Algorithms5min
- Play22. Demo: Model Training15min
- Play23. Demo: Model Explainability14min
- Play24. Demo: Confusion Matrix7min
- StartAssignment 2: Model Evaluation Using Confusion Matrix
- Play25. Demo: Decision Charts2min
- Play26. Demo: Lift Charts2min
- Play27. Demo: ROC & PR Curves4min
- Play28. Demo: Model Information4min
- StartAssignment 3: Feature Importance
- Play29. Feature Engineering9min
- Play30. Model Selection12min
- Play31. Testing and Validation8min
- StartAssignment 4: Overfitting vs. Underfitting
- Play32. Deployment6min
- Play33. Demo: Model Deployment2min
- Play34. Demo: Model Score7min
- Play35. Demo: Score Test6min
- Play36. Monitoring and Maintenance12min
- StartAssignment 5: Machine Learning Life Cycle
- Play37. Using API Service in Dataiku for Model Prediction.mp43min
- Play38. Demo: Dataiku API Services9min
- Play39. Demo: Model Deployment and Compare Evaluation8min
- Play40. Demo: Export to Jupyter Notebook2min
- StartQuiz 1: Knowledge Check
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Operating system used: 64 bit Windows 10
Answers
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Hi,
I hope that you are doing well. Are you using Dataiku Cloud or on premise here.
In general, an easy way to retrieve the version visually is to follow this doc:
If you are currently on the launchpad and on a version <v14, you can follow the following instructions :
To create your first project please follow these steps:
To create your first project please follow these steps. Go to
Click on OPEN INSTANCE
You will be direct the dss instance from here you can create your first project + NEW PROJECT
If you are not able to locate the launchpad please let me know whether or not you are currently using Dataiku Cloud as well as which version you are currently using. A screenshot of the page you are on would also be very helpful so that I can have better visibility to guide you here:)
You will only be able to check your role if you are an admin. If you have created your own account and instance you should be the space admin by default. If you have joined an already existing instance through an invitation it would depend on the permission granted.
In general I would also recommend taking the free academy courses we are offering here:
These allow you to get a free certification and are created by us so you will get the best hands on experience with the latest up to date course.
If you are unfamiliar with DSS I would recommend taking the core designer course first to get hands on experience and then moving to the ML practitioner course (based on your Udemy course title).
Let me know if you have any further questions or inquiries here.
Best,
Yasmine
