In this machine learning project, we will build a model that automatically suggests the right product prices. We are provided of the following information:
train_id — the id of the listing
name — the title of the listing
item_condition_id — the condition of the items provided by the sellers
category_name — category of the listing
brand_name — the name of the brand
price — the price that the item was sold for. This is target variable that we will predict
shipping — 1 if shipping fee is paid by seller and 0 by buyer
item_description — the full description of the item
You can download the data from Kaggle