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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.

  • Updated Feb 8, 2023
  • Kotlin

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.

  • Updated Feb 8, 2023
  • Kotlin

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.

  • Updated Feb 8, 2023
  • Kotlin

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