Most data scientists prototypes their ML model using a notebook. Fortunately, GCP offers Vertex AI Workbench, a Jupyter-based infrastructure where you can host and manage your notebook for development.
Why hiring software developers to write great software tests (unit tests) are not the same as performing quality assurance.
In part 2 of the Google Data Studio series, we take a deeper look into how Data Studio compares to other business intelligence tools
Developing in real life: Django REST Framework + testing your custom permissions in an API application with Talend API Tester or Postman
In part 1 of Developing a River Water Level Monitoring System with Google Data Studio, Adi walks us through a practical introduction to Data Studio.
Customer segmentation and identifying at-risk customer with RFM Analysis. A simple walkthrough with examples in R.
Working with app review analytics: the data science methodologies, tools and problem-solving frameworks you need to make sense of customer reviews
Working with app review analytics: the data science methodologies, tools and problem-solving frameworks you need to make sense of customer reviews
Multiple approaches to dimensionality reduction for pattern discovery, visualization and drawing decision boundaries (PCA, FAMD, PCAmix)
A journal entry on topic extraction from text (app reviews, e-commerce text reviews), using supervised, unsupervised and semi-supervised approaches
