In this article I will help you learn the basic steps and phases of a data science project to follow from raw data preparation , cleaning ,exploring to building a machine learning model, and ultimately, to operationalization.
Most important part of the creating a model is to have a sound business knowledge of the problem you are trying to solve and to define your goal
CASE STUDY: Our problem here is to find the true value of a property that we want to sell (prediction of house price for sell)
the quality of your inputs will decide the quality of…
Data science enthusiast