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Python-based analysis and visualization of the Auto MPG dataset. This project includes data preprocessing, statistical analysis, and interactive visualizations using Matplotlib. Features a command-line interface for dynamic data sorting and exploration.
12 gru 2021 · Each entry contains unique information such as cylinders, horsepower, acceleration, etc. Most crucially, each vehicle contains a label in the form of an mpg figure.
9 mar 2021 · Exercise 3: Find the most expensive car company name. Print most expensive car’s company name and price. Expected Output: Python Pandas printing most costly car name
Predicting mileage of cars using its features. A supervised learning problem. In this file, I will be demonstrating an end-to-end machine learning project on Automobile dataset.
A Python-based web scraping project to extract car data from CarPages.com. Gather information on car make, model, year, mileage, price, and more for analysis and data-driven applications.
19 lip 2018 · This is the code: #This program uses a loop to display. #distance traveled over time. print('This program calculates distance traveled') print('for a vehicle traveling at a constant speed.') #Gets speed of the vehicle. speed = int(input('Enter the vehicle speed in MPH: ')) #Gets the hours.
13 lip 2021 · Check correlation from a car dataset and train different linear regression models to predict the price based on data points such as mileage and horsepower.
