Before I even begin this article, let me just say that I love iPython Notebooks, and Atom is not an alternative to Jupyter in any way.

Most of us in data science has seen a lot of AI-generated people in recent times, whether it be in papers, blogs, or videos.

Have you ever wondered how Facebook takes care of the abusive and inappropriate images shared by some of its users?

Big Data has become synonymous with Data engineering. But the line between Data Engineering and Data scientists is blurring day by day.

It seems that the way that I consume information has changed a lot.

Too much data is getting generated day by day. Although sometimes we can manage our big data using tools like Rapids or Parallelization, Spark is an excellent tool to have in your repertoire if you are working with Terabytes of data.

I am a Mechanical engineer by education. And I started my career with a core job in the steel industry.

A Data Scientist who doesn’t know SQL is not worth his salt

Time series prediction problems are pretty frequent in the retail domain.

A Machine Learning project is never really complete if we don’t have a good way to showcase it.