Here I blog on all topics related to Big Data and Data Science. Articles could be of types: Executive Summaries, Tools analysis, Tool Comparisons, Architectural Patterns, Introductions to complex topics, and 'How to' or Tutorial types that share code snippets.
Decision Trees through an Example
Decision Trees - Feature Selection for a Split
Decision Trees - Homogeneity Measures
Decision Trees - How to decide the split?
Why Decision Trees?
Decision Trees - An Introduction
Hierarchical Clustering Through an Example
Hierarchical Clustering - Types of Linkages
Hierarchical Clustering: A Deep Dive
K-Means Clustering through An Example
Steps towards Data Science or Machine Learning Models
K-Means Clustering: Part 3 of 3
K-Means Clustering: Part 2 of 3
K-Means Clustering: Part 1 of 3
Introduction to Clustering Algorithms
When can you use Linear Regression?
Prediction Vs Forecasting in Supervised Learning
Feature Selection in Machine Learning
Machine Learning - Rendezvous Architecture
Big Data Architecture for Machine Learning