🔆
Welcome to my Dataland!
search
⌘Ctrlk
🔆
Welcome to my Dataland!
  • About me
  • Introductions
    • My projects
  • Silicon Valley Evolution and Its Impact on House Values
    • About the Project
    • Results and Discussion
    • Are you curious about the full result?
    • References
  • Melbourne Housing Analysis Using Machine Learning With R
    • About the Project
    • Data Cleaning
    • Regression - The Process and Results
    • K-means Clustering - The Process and Results
  • Triggering Data Fusion with Google Workflows - Google Cloud Platform
    • About the Project
    • How to call Data Fusion pipelines remotely from Workflows
    • How to generate a real-time authentication token
    • Check Data Fusion pipeline run status to trigger the subsequent steps
    • Before vs. After parallel execution
  • Customer Segmentation with K-Means Clustering - Python
    • About the Project
    • Getting acquainted with the Data
    • K-Means Clustering with two variables
  • Education in Vietnam - R
    • About the Project
    • Getting acquainted with the Data
    • New undergraduate students annually
    • Student-Instructor Ratio in Vietnam
gitbookPowered by GitBook
block-quoteOn this pagechevron-down
  1. Introductions

My projects

Melbourne Housing Analysis Using Machine Learning With Rchevron-rightTriggering Data Fusion with Google Workflows - Google Cloud Platformchevron-rightEducation in Vietnam - Rchevron-rightCustomer Segmentation with K-Means Clustering - Pythonchevron-right
PreviousAbout mechevron-leftNextAbout the Projectchevron-right

Last updated 3 years ago