Automotive Archives

Analyzing Electric Vehicle Battery Drain Time based on Trip Data

This project exposes the learner to various techniques of time series analysis and modeling to analyze the different factors affecting an electric veh

Difficulty: Intermediate
Duration: Approximately 3 hours

Automotive

Vehicle Transmission Analysis using Vehicle Sensor Data

This project exposes the learner to various techniques of exploratory data analysis and predictive modeling to analyze the transmission of vehicles.

Difficulty: Intermediate
Duration: Approximately 3 hours to complete

Automotive

Automobile Price Estimation Based on Features – Machine Learning

This project focuses on building a strong foundation on the concept of Regression Tree and how it can be used to build a predictive model.

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Customer Feedback Analysis for a Cab Aggregator Platform using NLP

This project introduces the learner to the concepts and techniques used in NLP.

Difficulty: Intermediate
Duration: Approximately 3 hours

Automotive

Clustering on Locations Services from Vehicle Telematics Data for Service Center Location

This project introduces the learner to the concept of Supervised and Unsupervised Machine Learning algorithms.

Difficulty: Intermediate
Duration: Approximately 3 hours

Automotive

Fleet Vehicle Fuel Consumption Analysis using Feature Engineering

This case study utilizes the fundamental concepts of statistical tests and visualizations to predict student academic performance, and uses those insi

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Predict Used Car Prices using Linear Regression

The case study is curated to help users understand the concept of a Linear Regression Model to accurately predict prices of used cars.

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Data Pre-processing on Used Car Data

The case study is curated to help users understand the concept of a Linear Regression Model to accurately predict prices of used cars.

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Predicting Car Prices using Explainable AI (XAI)

The case study focuses on how ML models can be used for prediction.

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Sentiment Analysis on Automobile Reviews

The case study focuses on the working of Sentiment Analysis on customer reviews on cars to determine its actual worth.

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Predicting Automobile Carbon Dioxide Emissions Using Boosting Algorithms

The case study introduces to the main types of Boosting Algorithms: as well as demonstrate how these models can be used to predict the carbon dioxid

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Analyzing Telematics Data to Group Driving Styles

The case study introduces the learner to the concept of Clustering and focuses on explaining how clustering can be used to group the drivers with sim

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Forecasting Vehicle Registrations for Sales Trends

The case study will enable the users to learn about various data visualization functions & Feature engineering techniques to select appropriate featur

Difficulty: Advanced
Duration: Approximately 3 hours

Automotive

Exploratory Data Analysis on Vehicle Crash Data & Fatalities

The case study analyzes the reasons for automobile accidents using the basics of exploratory data analysis and data visualization to analyze trends, p

Difficulty: Beginner
Duration: Approximately 2 hours