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ErikssonWilliam/README.md

Hi! 👋 I'm William!

  • 👀 Searching for opportunities related to Finance and Machine Learning :)
  • 🎉 Passionate about ⚽ football, 🏋️‍♂️ gym workouts, and exploring the world 🌍
  • 📫 Connect with me on LinkedIn

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  1. MachineLearning MachineLearning Public

    Labs from Machine Learning course at Linköping University. Includes, K-nearest neighbors, Neural Networks, PCA, Support Vector Machines, Kernels and much more!

    R 1

  2. Markesstacken Markesstacken Public

    Bachelor Thesis project in Computer Science & Startup Idea. Markesstacken is an e-commerce platform for buying and selling university related merch.

    JavaScript

  3. Financial-Risk-Management Financial-Risk-Management Public

    Estimation and forecasting of volatility using Financial Timeseries with Copulas. Includes models like GARCH, EWMA and EqWMA. Market risk management using CVaR, EVT, Risk Factors and Monte Carlo Si…

    MATLAB

  4. Deep-Learning-Labs Deep-Learning-Labs Public

    Labs from Deep Learning course at Linköping University. Contains CNN, RNN, Diffusion models, UNET, Encoder & Decoder and Graph Neural Networks.

    Jupyter Notebook

  5. Finetuned-Open-CLIP Finetuned-Open-CLIP Public

    Semi-supervised finetuning of OpenAI CLIP using Contrastive Learning, Vision Transformers & Transformers. Enabled Image-to-Text and Text-to-Image retrival of Google Earth photos to relevant prompts.

    Jupyter Notebook

  6. Portfolio-Management Portfolio-Management Public

    Portfolio Management of various types of funds. Includes Mean-Variance Optimization, PCA of the yield curve to obtain Shift, Twist and Butterfly. Benchmark testing, Currency Hedging using Forward C…

    MATLAB