I had this basic query on ML and would like to get basic ideas on modelling prediction models using ML and Python.Say I have a training data of 1000 items asItem_name, Attrib_1, Attrib_2, Attrib_3,....Attrib_N, CostAnd my aim is to create a model to predict cost for a new item given the attributes.So where should I start and what are the different ways to prediction and solve this problem ? Also how to evaluate different methods ?
Basic ML based Prediction model
python;regression