Skip to content

sylvaincom/C-for-data-science

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

92 Commits
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

C/C++ programming for Data Science

Authors:

This repository is part of our report for the C/C++ lecture.

Table of contents of this repository:

  • Our report in French rapport.pdf is to be read first.
  • The kmeans folder contains our own code for the K-means clustering.
  • The kNN folder contains our own code for the K-nearest neighbor algorithm.
  • The folder NN-tutorial-miller is meant to be read before the folder NN-iris-data. We run a code for simulating a neural network in C/C++ for XOR data and adapt it to the Iris data set.

About

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 2

  •  
  •  
pFad - Phonifier reborn

Pfad - The Proxy pFad of © 2024 Garber Painting. All rights reserved.

Note: This service is not intended for secure transactions such as banking, social media, email, or purchasing. Use at your own risk. We assume no liability whatsoever for broken pages.


Alternative Proxies:

Alternative Proxy

pFad Proxy

pFad v3 Proxy

pFad v4 Proxy