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