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darian-catalin-cucer / decision-trees-and-random-forests

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This code repository contains implementations of Decision Trees and Random Forests in Kotlin for both classification and regression tasks. Decision Trees and Random Forests are powerful machine learning algorithms for decision-making and prediction problems. The code is written in Kotlin, a modern and concise programming language.

javascript kotlin java tree js math algorithms cpp gradle random hashmap forests
  • Updated Feb 8, 2023
  • Kotlin

darian-catalin-cucer / MCTS

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Efficient algorithm for making informed decisions in games and other decision-making scenarios. It combines elements of simulation, random sampling, and decision tree analysis to make accurate predictions in real-time. The algorithm is written in Kotlin, a modern and expressive programming language, making it easy to understand and modify.

kotlin java tree algorithms monte-carlo competitive-programming hashmap mcts problems tree-structure monte-carlo-simulation problem-solving hashmaps monte-carlo-tree-search mcts-algorithm
  • Updated Feb 8, 2023
  • Kotlin

darian-catalin-cucer / HashMap

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A HashMap is a data structure that allows for efficient insertion, retrieval, and deletion of elements based on their key. This project implements a HashMap in Kotlin with explanations of its functions, making it a helpful resource for those looking to understand the inner workings of HashMaps.

kotlin algorithms datastructures functional-programming maps oop kotlin-android hashmap collections mapstruct keyvaluestore keyvaluepair datastructures-algorithms collections-framework
  • Updated Feb 8, 2023
  • Kotlin

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