My Learning Space
Space to take notes, learn and share.
Architectural patterns for managing slowly changing dimensions
What are SCDs ? Slowly Changing Dimensions (SCDs) are an approach in data warehousing used to manage and track changes to dimensions over time. It plays an important role in data modeling especially in the context of a data warehouse where maintaining historical...
Association Rule Learning in Marketing Analytics
Association Rule Learning is used to find relationships between items or events in large data sets. The primary goal of Association Rule Learning is to identify frequently occurring patterns in data to reveal hidden relationships. How Association Rule Learning works?...
Classification model using AutoML in Vertex AI
What is Vertex AI? Vertex AI is Google's solution for problem-solving in Artificial Intelligence domain. To put things into context, Microsoft provides Azure Machine Learning platform for artificial intelligence problem solving and Amazon has Sage Maker for solving AI...
Practical Application of Logarithms
What is Logarithm A logarithm is an inverse function of exponentiation. A simplified way of saying the same would be, that a logarithm is the opposite of an exponent. E.g. The exponent form can be written in its (opposite) logarithm form as...
Facebook Campaigns for Marketing Analytics
This article aims to summarise attributes available in any facebook campaign at the time of configuration. Having an overview of campaign attributes available is handy in understanding what can be analyzed,configured and managed within facebook campaigns. Depending on...
Predicting Customer Life time Value with Google BigQuery ML
Exploring Google Analytics E-commerce Data. We can explore machine learning capabilities of Google BigQuery by creating a classification model. The model will predict whether or not a new user is likely to purchase in future. BigQuery ML supports following machine...