- Stockholm
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19:42
(UTC +01:00) - in/pontus-hovberger
๐ Python
Different algorithms (e.g. bruteforce, backtracking, Crook's algorithm) for solving Sudoku-puzzles written in Python & C.
Black Scholes and Binomial Models for pricing European Options and Longstaff Schwartz for pricing American Options
Modelling optimal playing strategies for the board game Risk using Markov Chains and Monte-Carlo simulations
Module to retrieve and process stock information using yfinance. Used in other projects such as Option Pricing and Brinson-Fachler return attritbution.
Convolutional neural network (CNN) implemented in PyTorch for image classification trained on CIFAR-10 dataset classifying images in 10 categories (airplanes, automobiles, dog, etc.)
Image classification of Iris Flower dataset using 5 different machine learning methods (Decision Tree, Support Vector Machine, Random Forest, Naive Bayes and K-nearest neighbour)