January 2025
Intermediate to advanced
614 pages
15h 37m
English
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6.2 Project 2: Predicting Car Prices Using Linear Regression
In this project, we will develop a predictive model to estimate the prices of used cars based on various features such as mileage, year, make, model, and other relevant factors. This project has significant real-world applications in the automotive industry, particularly for car dealerships, insurance companies, and online marketplaces dealing with used vehicles.
Linear regression is well-suited for this task as our goal is to predict a continuous value (car price) based on multiple input features. Throughout this project, we will:
- Explore and preprocess a comprehensive car dataset
- Apply linear regression to predict car prices
- Evaluate the model's performance using various metrics ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.