Car Price Prediction Project with R.
This project is about predicting the price of a car with the programming language R. It is separated into 4 different parts:
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Webscraping: Scraping the relevant data from "autoscout24.de" and bring it into the right format.
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Data Cleaning & Data Understanding: Preprocess the scraped data and investigate it with different visualizations.
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Building a Linear Regression Model Implement a linear regression models and investigate whether all prerequisites apply. Forecasting the price of a car with multiple variables like car color, car make, car age...
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Build a Random Forest Model Implement a random forest model and compare the performance to the linear regression model.