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Understanding Clustering for Machine Learning

Since we’re talking about Clustering for Machine Learning,  let’s start by understanding what we mean by Cluster. The clustering process is based on some pre-defined criteria. Clustering is an unsupervised learning technique in which there are no predefined classes and no examples or prior information. demonstrating how the data should be grouped (or labeled) into separate classes. Clustering could also be considered an Exploratory Data Analysis (EDA) process which allows us to discover hidden pattern of interest […]

Non-technical intro to Random Forest and Gradient Boosting in machine learning

A collective wisdom of many is likely more accurate than any one. Wisdom of the crowd – Aristotle, 300BC- The concept of Ensemble is fundamental to many areas of our lives. A choir  of singers is an ensemble. A band of instrumentalists is an ensemble. A group of vocalists singing different notes (Bass, alto, tenor, sopranos) is an ensemble. A group of kids singing melodious acapella is an ensemble . You can already see the trend right? In […]