Role: Data Scientist.
Background: M.Sc. in Information and Network Engineering from KTH.
Languages of expertise: Python, SQL and Matlab.
- Stockholm, Sweden.
- https://www.linkedin.com/in/christian-ryan-38549ab4/
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H-ARE/EL2805-Reinforcement-Learning
H-ARE/EL2805-Reinforcement-Learning PublicLabs of the course EL2805 Reinforcement Learning at KTH.
Python
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ML-SVM-Visual-Computation-TU-Wien
ML-SVM-Visual-Computation-TU-Wien PublicMachine Learning project using SVM and different non-linear kernels for visual computation in MatLab.
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ML-Perceptron-TU-Wien
ML-Perceptron-TU-Wien PublicImplemented a ML Perceptron to determine a classifier of scattered data in Python.
Python
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BrownianMotionGUI-KTH
BrownianMotionGUI-KTH PublicMathematical model and GUI implementation of Brownian Particle Motion in Java
Java
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ML-KNN-Optimisation-TU-Wien
ML-KNN-Optimisation-TU-Wien PublicForked from jankovicgd/csnFramework
Simple framework in Python for evaluating optimisation strategies for K-NN ML technique, including binary search, randomized search, etc.
Python
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