![Used car price prediction - Part 3](https://static.wixstatic.com/media/ec25b8_3af876d9be8a48adb36d2edec5be673d~mv2.png/v1/fill/w_311,h_234,fp_0.50_0.50,q_95,enc_auto/ec25b8_3af876d9be8a48adb36d2edec5be673d~mv2.webp)
Used car price prediction - Part 3
We will work on minimizing the prediction error. I found 3 things that we need to consider from the raw data. Let's look at our raw data...
![Used car price prediction - Part 2](https://static.wixstatic.com/media/ec25b8_0266d69b724e40fcbbffbc117da9be83~mv2.png/v1/fill/w_311,h_234,fp_0.50_0.50,q_95,enc_auto/ec25b8_0266d69b724e40fcbbffbc117da9be83~mv2.webp)
Used car price prediction - Part 2
Let's open a pickled file from Part 1, and build a linear regression model. You can open saved file with >>> df2=pd.read_pickle('used_car...