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Vusi Kubheka's Portfolio

BHSc (Honours) Health Systems Sciences, Witwatersrand University

The Bellflower

Circumstances when to apply Dimensionality Reduction

Circumstances when to apply Dimensionality Reduction

Circumstances when to apply Dimensionality Reduction

1. High-Dimensional Data (Curse of Dimensionality) When datasets have a large number of features (e.g., genomic data, text data, or image...

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Dealing with Missing Data: Understanding Types and Using MICE for Imputation

Dealing with Missing Data: Understanding Types and Using MICE for Imputation

Dealing with Missing Data: Understanding Types and Using MICE for Imputation

Missing data is a common challenge in data analysis and modelling, often resulting from incomplete data collection, technical errors, or...

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Practical Imputation of Missing Values from a Dataset

Practical Imputation of Missing Values from a Dataset

Practical Imputation of Missing Values from a Dataset

Introduction This report provides a detailed analysis of air pollution data for Sebokeng, a densely populated, low-income settlement in...

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