Blog - Data Science

Dimensionality Reduction Techniques in Data Science

An analysis of different dimensionality reduction methods applied to the Fashion-MNIST dataset, including PCA, Random Projections, Isomap, and t-SNE.

Data Science Dimensionality Reduction PCA Random Projections Isomap t-SNE

Impact of Network Complexity in ANN Regressors

How different complexities in an Artificial Neural Network (ANN) influence learning and generalization, with insights from various configurations.

Data Science Artificial Neural Networks Machine Learning Regression Analysis

Harnessing Wearable Tech for Fall Detection

Using machine learning to enhance fall detection with wearable sensor data, highlighting the importance of precise and reliable classifications for improving healthcare outcomes.

Data Science Machine Learning Healthcare Technology Wearable Sensors

Data Stream Classification Methods

This blog post outlines the implementation and evaluation of various data stream classification models, focusing on handling concept drift and adversarial attacks to enhance model performance.

Data Science Machine Learning Data Stream Mining Concept Drift Adversarial Attacks