In one of the early projects, I was working with the Marketing Department of a bank. The Marketing Director called me for a meeting.

The subject said – “Data Science Project”. I was excited, completely charged and raring to go.

I was hoping to get a specific problem, where I could apply my data science wizardry and benefit my customer. The meeting started on time.

The Director said “Please use all the data we have about our customers and tell us the insights about our customers, which we don’t know. We really want to use data science to improve our business.” Data scientists use a variety of machine learning algorithms to extract actionable insights from the data they’re provided.

The majority of them are supervised learning problems, because you already know what you are required to predict. The data you are given comes with a lot of details to help you reach your end goal. Read more from…

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