Feature Selection Library for Data Sciences in Python
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Updated
May 31, 2024 - Python
Feature Selection Library for Data Sciences in Python
Search and sorting algorithms
In this project, we focus on different ways to optimize a machine learning model parameters.
The repository was created to host laboratory work on the university subject of the 2nd year of the specialty Software Engineering of PSU
LAB 03 – BÚSQUEDA
KD tree implementation with kNN and sequential scan search
visualize some algorithms with java-swing
Busca Indexada com dois índices - Indexed Search with two indexes (C)
Compare 3 simple search algorithms and their running time growths in Big-O notations
🔍 sequential search ==> recursive algorithm in javascript
Busca Binária e sequencial. Ordenação: BubbleSort, SelectSort, QuickSort
This code was a homework which goal was to implement some of the most popular sorting and search algorithms in order to know how to use them.
Repository containing all the activities and tasks completed in the "Estructura de Datos" course. Covered topics include ADTs, recursion, lists, graphs, stacks, sorting methods such as shell sort, radix sort, bubble sort, quicksort, intercalation sort, direct merge sort, natural merge sort, as well as search methods: binary, hash and sequential.
Collections of Java classes with some algorithms that may be useful in certain contexts and applications
A chunk of code that shows a sequential search.
Comparing a sequential program and a parallel program doing the same task
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