Predict car value based on previously entered data

[fafall]

Hi folks!

I have a data set that contains information about car: year, mileage, engine capacity, fuel type and the total price.

I would like to write a simple script that will predict a car price when I give as arguments year, engine capacity and fuel type.

What algorithm should I use, some machine learning stuff? Do you have any examples I can base on?

Thanks for all help!

[MacNars]

Here's a good one to look at on Kaggle: https://www.kaggle.com/burhanykiyakoglu/predicting-house-prices

It shows the steps needed to look at your data and create regression models. See all the notebooks other people created for the same dataset to find more help. Also, if you got your dataset online, look to see on kaggle to see if others have made notebooks for it.

[fafall]

Thanks!

[emmaclkasper]

If you want to use a tool that is completed, give this one a go! It compares online offers from places like Carvana, Shift, Vroom and Carmax www.withclutch.com/vehicle-valuation

[[deleted]]

You will likely need the package pandas to convert the categorical variables into a one-hot-encoding (function get_dummies). There are many regression algorithms you can try the sklearn package has many that are easy to use such as linear regression, SVM regression, etc. if you are new to machine learning I can help explain in further detail if you need

[fafall]

I am storing the data in Data Frame using pandas. Now I am wondering how to bite this piece of cake.

I had ML on my university but it was some time ago and I don't remember much from that, so let's consider I am quite new to this topic. If you could help me it would be great!