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Machine learning models are useful for vehicle performance optimization and characterization. They can be used to forecast future events or conditions, classify events as cautious or concerning, and act as a prognostic tool. Currently, supporting the..
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CONTEXT:This is a dataset of electric vehicles.
One of the more popular data science datasets is the mtcars dataset. It is known for its simplicity when running analysis and visualizations.
When looking for simple datasets on EVs, there don't seem ..
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Context
The dataset is collected from various web resources in order to explore the used cars market and try to build a model that effectively predicts the price of the car based on its parameters (both numerical and categorical)
Content
The data ..
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In this era, the first step to make an industry smarter is use Predictive analytics and maintenance (PdAM). The current trend called Industry 4.0 is widely used in manufacturing factories to becoming smarter. Accordingly to prediction industries take..
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Here are the dataset of automobile industry
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Context
Computer Vision as a field of research is notoriously difficult. Almost no research problem has been satisfactorily solved. One main reason for this difficulty is that the human visual system is simply too good for many tasks (e.g., face rec..
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Current trends are showing that the popularity of electric vehicles (EVs) has significantly increased over the last few years, causing changes not only in the transportation industry but generally in business and society. This paper covers one possib..
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DESCRIPTION
Car fuel consumption and emissions 2000-2013
SUMMARY
Cleaned-up and consolidated car fuel consumption and emissions data for years 2000 to 2013. Data is published by the Vehicle Certification Agency (VCA), an Executive Ag..
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Here are the dataset of automobile dataset
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With the recent advancement in technologies such as embedded system, wireless distributed sensor, light weight material, smart cognitive radio networks, cloud computing, higher efficiency and ultra-low emission internal combustion engines, intelligen..
