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This repository contains a hands-on tutorial demonstrating the creation of ETL pipelines with World Bank data (indicators and projects). It explores various data extraction methods (CSV, JSON, APIs…
1 UpdatedApr 14, 2025 -
Leveraged transfer learning with a pre-trained MobileNetV2 model (TensorFlow/Keras) for image classification of cats and dogs. Implemented data preprocessing pipelines, performed feature extraction…
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This project aims to provide a comprehensive overview of modern data architecture concepts, including data lakes, data meshes, cloud-based solutions, and real-time processing, and their application…
1 UpdatedMar 10, 2025 -
Customer-Segmentation Public
This project focuses on performing customer segmentation using Principal Component Analysis (PCA) and K-Means clustering. The goal is to understand customer behaviors based on their demographic and…
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This project demonstrates the use of Scikit-learn's Pipeline for streamlining machine learning workflows. It provides practical examples using various datasets (sinusoids, cancer, Titanic, and Iris…
Jupyter Notebook UpdatedMar 9, 2025 -
This project focuses on building a regression model to predict the burned area of forest fires using meteorological and spatiotemporal data. The dataset used covers forest fires in Portugal’s Monte…
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Explores the design and implementation of a modern, adaptable data infrastructure using microservices.
1 UpdatedMar 8, 2025 -
FarmCentralERPModel Public
FarmCentral: An Enterprise Resource Planning (ERP) Model Developed with ASP.NET Web Forms
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The aim of this research project was to investigate the effectiveness of various machine and deep learning algorithms for trading bot development.
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This project involved analyzing Amazon user reviews to determine the sentiment expressed (positive, negative, or neutral) using Recurrent Neural Networks (RNNs). The project leveraged deep learning…
natural-language-processing deep-learning sentiment-analysis text-classification lstm-neural-networks reccurent-neural-networkJupyter Notebook UpdatedMar 8, 2025 -
This project focuses on using machine learning to detect unusual or unexpected events (anomalies) in video surveillance footage as they happen (real-time).
1 UpdatedMar 8, 2025 -
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C# Educational Dewey Decimal System game using advanced data structures that we learnt in our final year: lists, trees and dictionaries
C# UpdatedMay 25, 2023 -