This project exposes the learner to various techniques of time series analysis and modeling to analyze the different factors affecting an electric vehicle’s battery drain time.
Time series analysis can play a crucial role in the systematic study of any time-dependent dataset and gain meaningful insights.
Electric vehicles have seen massive research and development in recent times, especially to navigate environmental challenges. Since, the main component of an electric vehicle is the battery, it is extremely crucial that the battery condition is optimum whenever the vehicle is in operation.
However, there can be numerous factors that can affect the performance of the battery and timely action on any potential issue can save substantial resource and money for the vehicle owner.
Learn to apply various techniques of time series analysis to understand precautionary measures for maintaining battery condition and forecast the drain time using robust time series models.
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Skills you will learn
Data Mining
Data Management
Data Visualization
Time Series Analysis
Associated Learning Tracks
N/A
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Difficulty: Intermediate
Duration: Approximately 3 hours
