WebDriver Telematics Analysis For this competition, Kaggle participants must come up with a "telematic fingerprint" capable of distinguishing when a trip was driven by a given driver. The features of this driver fingerprint could help assess risk and form a crucial piece of a larger telematics puzzle. FINAL SOLUTION: WebThe dataset is proprietary data of Yun Solutions, collected from Beta Testing phase. The dataset contains sensor and OBD data for over 4 months and around 30 vehicles. …
GitHub - ivanliu1989/Driver-Telematics-Analysis
WebApr 11, 2024 · Hate Speech in social media is a complex phenomenon, whose detection has recently gained significant traction in the Natural Language Processing community, … WebJan 17, 2024 · The dataset enables researchers to study urban driving situations using the full sensor suite of a real-self-driving car. The dataset features 1,400,000 camera images, 390,000 lidar sweeps, detailed map … scenery around stationary
7th Place in Kaggle’s Driver Telematics Challenge - Olariu
WebGo to datasets r/datasets• Posted by ashwinids request for vehicle telematics dataset I'm looking for vehicle telematics dataset to classify drivers based on their driving … WebJul 28, 2024 · Data Analysis with Python freeCodeCamp Issued Jul 2024 See credential AWS Certified Machine Learning Specialty 2024 - Hands … WebThe goal here is to find insights from this sensing data and possibly develop usecases and value propositions of the importance of having sensors installed in cars, whether for personal use or businesses. Luckily, I laid hold on a telematic dataset from United Arab Emirate. The dataset contains information about 10 cars driving on October 8, 2016. run that app