Data Science, Spring 2020, Hanyang University.
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Updated
Mar 25, 2023 - C++
Data Science, Spring 2020, Hanyang University.
Solutions to algorithmic programming problems.
Minimal ROBDD library implemented as part of the Verification of Digital Systems course
R package CORElearn
A library to train, evaluate and make inference using random forests.
2 players move a night around a board
ML++ and cppyml: efficient implementations of selected ML algorithms, with Python bindings.
Parallel recursive and streaming decision tree implemented in CilkPlus.
A decision tree is a predictive model useful for different purposes and often used as a tool for decision support.
Deriving an optimal Blackjack strategy using Tammelin's counterfactual regret minimization algorithm (CFR+) and modern C++.
Random Forest library university project
A library for inducing (bivariate) oblique decision trees, cross-split decison trees and decision trees involving nominal splits
A toolkit of machine learning algorithms.
Just decision_tree module for C++ and Python
Tic tac toe assignment during cpp course at UCU. It would be several types of bots to play with.
Simple AI algorithm (based on Decision trees) for Gomoku game
Implemetation of a binary classification tree using entropy.
Implementation of CART and Random Forest in C++
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