Data encoding techniques for Image & Video Coding assignments
-
Updated
Apr 28, 2019 - Jupyter Notebook
Data encoding techniques for Image & Video Coding assignments
This is the Multimedia Programming project which implements the Audio Algorithms such as changing frequency, data encoding format (PCM) , amplitude, mono or stereo etc.
Code challenge for a hiring process, implementing a decompressor for files condensed using a variant upon the Lempel-Ziv-Welch algorithm
Python Data Anonymization & Masking Library For Data Science Tasks
Data encoding functions for Node.js.
[🧬] Sphinx is image encryption software with DNA coding, spatial chaos and a unique key. It converts the RGB components into DNA matrices, combines them with XOR, scrambles them with a random sequence and decrypts them to recover the image.
Encode textual data into QR codes, compile these codes into visual formats (video and GIF), and then decode them back to the original text.
Machine Learning Models
Compressor - Simple Repeated Characters Compression Algorithm
Variant Vector Serialization/Deserialization
Compressor - Simple Repeated Characters Compression Algorithm (Go Version)
Variant Vector Serialization/Deserialization (Go)
This repository contains resources and code examples related to Feature Engineering and Exploratory Data Analysis (EDA) techniques in the field of data science and machine learning.
Projet réalisé dans le cadre de l'UE Codages & Cryptographie en M1 à l'Université de Bourgogne
Creating a Website that has Machine Learning feature to predict Students Performance segmentation (using Clustering Model)
EDA Travel data by PW Skills Data Analytics Course.
EDA and Feature Engineering for Flight Price Prediction by PW Skills Data Analytics Course.
The main objective of this project is to design and implement a robust data preprocessing system that addresses common challenges such as missing values, outliers, inconsistent formatting, and noise. By performing effective data preprocessing, the project aims to enhance the quality, reliability, and usefulness of the data for machine learning.
Add a description, image, and links to the data-encoding topic page so that developers can more easily learn about it.
To associate your repository with the data-encoding topic, visit your repo's landing page and select "manage topics."