/Exception-elimination-and-completing-sequential-data

Functions for exception elimination using statistical methods, noise filtering, data frequency uniformity and data completion

Primary LanguageC

Exception Elimination and Completing Sequential Data

Description

  • Homework for the Data Structure course.
  • This project aims the handling of a large amount of data used for machine learning, focusing on the list data structure.
  • The homework targeted solving possible problems that can occur when working with a large amount of data such as:
    • Data which should not be present (outlier)
    • Missing data within a time period (gaps)
    • Noisy data
    • Unevenly distributed data
  • The project consists of functions for exception elimination using statistical methods, noise filtering, data frequency uniformity and data completion.

Languages

  • The application was written in C for a better understanding of the list data structure.