Data Analysis of Road Traffic Accidents to Minimize the rate of accidents
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Updated
May 18, 2018 - Python
Data Analysis of Road Traffic Accidents to Minimize the rate of accidents
This repo will be mainly used for the Applied Data Science Capstone, which is the icing on the cake of the DataSc Professional certificate by IBM.
🔍 A tool to explore Brazil traffic accident
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.
Detection of spatio temporal hotspots of traffic accidents in Saudi Arabia for the years 2015 to 2018. The data is aggregated nonetheless using Hijri calendar years 1437, 1438, 1439. Each Hijri year consists of 12 months and approx. 355 days.
A categorical analysis approach to predicting level of car accident severity in Pennsylvania, USA, based on 2019 data
Analysis of spatio demographic dimensions of traffic accidents in Saudi Arabia in 2018-2019.
The aim of the project is to build prediction models to classify severity of road traffic accidents (slight injury, serious injury or fatal injury) based on various relevant information regarding the involved vehicles, drivers, casualties and surrounding conditions.
Spatio-temporal hotspot analysis of traffic accidents in Saudi Arabia. The analysis is conducted using Python PySAL library on traffic accidents data from the years 2015 to 2018. The results are presented using Plotly library.
Exploratory Data Analysis on a traffic accident dataset from the Contiguous United States, focusing on the weather/environmental factors
Task 5 of the Prodigy infotech Data science internship
Data parsing and vizualization of road accidents on federal highways in Russia
Analyzing traffic accident data
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