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.

Gathering Business Knowledge:

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…

Kaoutar Bentalha

Data science enthusiast

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