Health Analytics Module 3: Session 1 | V.Kubheka Portfolio

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Vusi Kubheka's Portfolio

BHSc (Honours) Health Systems Sciences, Witwatersrand University

Session 1

Types of Learning

The purpose of this session is to introduce and explain the different types of learning in machine learning, including supervised learning, unsupervised learning, and reinforcement learning. It also aims to familiarise learners with the types of data associated with each learning type and the general terminology used in machine learning.

Understanding Reinforcement Learning

Understanding Reinforcement Learning

Understanding Reinforcement Learning

Reinforcement Learning (RL) represents a powerful branch of machine learning focused on decision-making in uncertain environments (...

Vusi Kubheka

Analysing Socioeconomic and Health Factors Using PCA

Analysing Socioeconomic and Health Factors Using PCA

Analysing Socioeconomic and Health Factors Using PCA

When tasked with helping an international humanitarian NGO allocate $10 million in aid, our goal as analysts is to identify the countries...

Vusi Kubheka

Evidence of Learning

Supervised vs Unsupervised Learning

Supervised vs Unsupervised Learning

Supervised vs Unsupervised Learning

The field of machine learning is transforming industries, enabling smarter systems that adapt and improve over time. At its core, machine...

Vusi Kubheka

Analysing Socioeconomic and Health Factors K-Means Clustering Analysis

Analysing Socioeconomic and Health Factors K-Means Clustering Analysis

Analysing Socioeconomic and Health Factors K-Means Clustering Analysis

In part one of our analysis, I used Principal Component Analysis (PCA) to reduce the dimensionality of a dataset detailing socioeconomic...

Vusi Kubheka

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