Machine learning pipeline that classifies sonar returns as rocks or mines using data augmentation, feature selection, and a Random Forest Classifier (98.76% accuracy)
Open-source templates that resemble the Ghent University style guide and prioritise readability
Match color clusters and manage memory tokens to restore the robot in this browser-based puzzle game demonstration.
Modify game values in 7 Days to Die with this memory trainer to adjust player survival stats and inventory items.
Manage Zenodo research artifacts, automate deposits, and generate citable DOIs directly from Claude Code or OpenClaw using this Zenodo REST API skill.
Automate Core Bank transactions and monitor activity with a TypeScript dashboard built for API access, OCR, and real-time control
Detect PyPI supply chain attacks in Python packages with pattern scans and LLM-based false positive filtering
Implement core deep learning algorithms from scratch using NumPy for educational purposes and modular neural network prototyping.
🌸 Analyze the Iris dataset with exploratory data analysis and classify species using K-Nearest Neighbors in Python.
📊 Predict and reduce customer churn with a production-ready machine learning pipeline, ensuring quick and accurate insights for better retention strategies.
🌸 Generate synthetic images of flowers using a custom Denoising Diffusion Probabilistic Model (DDPM) implemented in PyTorch.
🏡 Predict California house prices using machine learning techniques like Linear Regression and Random Forest for accurate median value estimates.
🏡 Predict housing prices efficiently using data-driven models to inform your real estate decisions and investments.
🔍 Detect credit card fraud effectively with this robust hybrid machine learning model, enhancing security for financial transactions and protecting customers.
🛢️ Visualize and forecast oil & gas well production with a user-friendly dashboard for data cleaning, engineering, and machine learning training.
📊 Analyze Spotify track data to uncover insights on popularity and audio features through comprehensive exploratory data analysis and visualizations.
🔍 Explore diverse EDA projects that enhance your data analysis skills through practical techniques for cleaning, visualizing, and interpreting real datasets.
📊 Analyze and forecast retail sales with historical data using ML techniques, featuring a Streamlit dashboard for insights and visualization.
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