Rust programming library to parse, validate or generate Saudi Arabian national IDs.
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Updated
Aug 14, 2023 - Rust
Rust programming library to parse, validate or generate Saudi Arabian national IDs.
Saudi Arabia and the Oil Market (EJ, 2013)
Arabic sentiment analysis powered by machine learning models classifies STC tweets for 2021 and 2020 into three classes: positive, negative, and neural, using natural language processing techniques.
Fetches our latest volunteer opportunities from the Saudi National Volunteering portal and displays them in a table
This work is done for social computing course project
E-commerce & Communities
Studying people perception regarding COVID-19 vaccination in Saudi Arabia during selected events
Analysing the characteristics and trends of the Saudi energy sector stock market to construct five machine learning models that predict the stock's movement and provide a buy or sell recommendation.
T5 - EDA project 1
A cloud-based solution for ambulances operation that monitors and keep track of patients' conditions.
Machine Learning models that were utilized to predict hotel prices in Saudi Arabia.
Exploring a hosing dataset to find insights, trend and feature correlations among categories
Analysis of traffic accidents causes per province in Saudi Arabia in 2017-2018. Original data fetched from Saudi Open Data Portal.
The gaca-library repository provides updated GACAR and AIP documents for Saudi Arabian aviation, serving industry experts and enthusiasts with essential regulatory information.
This is part of a YouTube tutorial series about data science presented in Arabic. The aim of this series is to enrich the Arabic content and help me develop my skill
This .Net Web Application creates QR Code for KSA Invoice with Base64 Encoding
Time series analysis of monthly traffic accidents casualties in Saudi Arabia through the years 2015 to 2018. The time series is however analyzed based on the Hijri lunar calendar years 1437, 1438, 1439.
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