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An action plan from a Data Scientist

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

With those heavy steel enforced gumboots and that plastic helmet, venturing around big blast furnaces and rolling mills. Artificial safety measures, to say the least, as I knew that nothing…

Photo by ThisisEngineering RAEng on Unsplash

Parallelism and concurrency aren’t the same things. In some cases, concurrency is much more powerful. Here is a guide to help you make the most of concurrency with Asyncio.

Python is an easy language to pick up, but mastering it requires understanding a lot of concepts.

In my last post, I talked about using a multiprocessing module to do parallel processing. Python also offers users the power to work with concurrency using the Asyncio module from version 3.4 forward.

Image by Joshua Woroniecki from Pixabay

Also called Magic Methods, Dunder Methods are necessary to understand Python

In my last post, I talked about Object-Oriented Programming(OOP). And I specifically talked about a single magic method __init__ which is also called as a constructor method in the OOP terminology.

The magic part of __init__ is that it gets called whenever an object is created automatically. But it is…

Image by Gerd Altmann from Pixabay

ROC curves are one of the most common evaluation metrics for checking a classification model’s performance. This guide will help you to truly understand how ROC curves and AUC work together

ROC curves, or receiver operating characteristic curves, are one of the most common evaluation metrics for checking a classification model’s performance. …

Rahul Agarwal

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