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  • šŸ‘‹ Hi, Iā€™m Magnus
  • šŸ‘€ Iā€™m interested in machine learning, analytics, technology and innovation.
  • šŸŒ± Iā€™m currently learning NLP, Deep Learning and Predictive Analytics.
  • šŸ‘Øā€šŸŽ“ Iā€™m studying for a masters degree in Business Administration and Data Science.

Magnus's Projects

agarvision_2024 icon agarvision_2024

Project from Novo Nordisk's AgarVision hackathon, utilizing DenseNet-121 & YOLOv8 for agar plate analysis and colony counting.

employees-analysis icon employees-analysis

This project analyzes employee data from the Employees Sample Database, using SQL and Tableau.

foundations-of-data-science-final-exam icon foundations-of-data-science-final-exam

Exam project in foundations of data science. It includes three main components: Sub-Numpy, a Python library mimicking Numpy functionalities; Hamming's Code, focusing on error detection and correction in data transmission; and Text Document Similarity, which explores various algorithms to assess textual similarities.

huginnhears icon huginnhears

Huginn Hears is a local app that transcribes and summarizes your meetings in Norwegian and English, using state-of-the-art models and open-source libraries. No cloud needed, run everything offline.

lancedb icon lancedb

Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!

movie-rec-system icon movie-rec-system

The project extracts movie data using TheMovieDB API, processes it using TF-IDF and cosine similarity for generating recommendations, and stores the data in a DuckDB database. The system is encapsulated within a FastAPI web application and can be deployed using Docker. It provides movie recommendations in JSON format.

nearly-new-nautical icon nearly-new-nautical

Trained machine learning models to forecast used boat listing views, enabling a marketplace to optimize inventory by identifying low traction listings. Key techniques included data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.

tumor-segmentation icon tumor-segmentation

Advanced tumor segmentation using Attention U-Net on MIP-PET images for DM i AI 2023.

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