Auto mpg dataset analysis in python. The dependant variable MPG is monotonically ...
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Auto mpg dataset analysis in python. The dependant variable MPG is monotonically decreasing with respect to features Weigh, Displacement, and Horsepower. The main functionality includes sorting the dataset based on different attributes, performing basic statistical analyses, and visualizing various characteristics of the data such as average mpg of each car by make or year. We will use the Auto MPG dataset which contains features like engine displacement, horsepower, weight and other car specifications to predict miles per gallon (MPG Auto-MPG Dataset Analysis Dataset Description: The MPG dataset is technical specifications of cars originally provided from UCI Machine Learning Repository and can be found on Kaggle here. Here is a Shiny app Shiny apps are easy to write. Dataset The Auto MPG Dataset is a regression dataset [1] with 7 features: Cylinders Displacement Horsepower Weight Acceleration Model Year Origin. Certainly! Below is a complete description and report of your project that you can include in your GitHub README file. The dataset we use is called the ‘Auto MPG’ dataset. . With this, we need to predict the fuel efficiency of specific vehicles. Let users interact with your data and your analysis, all with R or Python: R Python 6 days ago · A comprehensive data analysis project on PhonePe's digital payment platform covering 300,000 transactions across 107,658 users and 6 service categories — built using Power BI and Python.
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