Data Science

Data Science Programming Use Iterators, Generators, and Generator Expressions

By Rahul Agarwal 28 November 2020

Python in many ways has made our life easier when it comes to programming.

Data Science Programming Object Oriented Programming Explained Simply for Data Scientists

By Rahul Agarwal 24 November 2020

Object-Oriented Programming or OOP can be a tough concept to understand for beginners.

Data Science The Use of Machine Learning in Predicting Sports Match Outcomes

By Rahul Agarwal 22 October 2020

Out of all spheres of technological advancement, artificial intelligence has always attracted the most attention from the general public.

Data Science Awesome Guides Create an Awesome Development Setup for Data Science using Atom

By Rahul Agarwal 02 September 2020

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.

Data Science Learning Resources Become an ML Engineer with these courses from Amazon and Google

By Rahul Agarwal 27 August 2020

With ML Engineer job roles in all the vogue and a lot of people preparing for them, I get asked a lot of times by my readers to recommend courses for the ML engineer roles particularly and not for the Data Science roles.

Data Science How to use SQL with Pandas?

By Rahul Agarwal 27 August 2020

Pandas is one of the best data manipulation libraries in recent times.

Data Science 5 Essential Business-Oriented Critical Thinking Skills For Data Scientists

By Rahul Agarwal 12 August 2020

As Alexander Pope said, to err is human. By that metric, who is more human than us data scientists?

Big Data Data Science Accelerating Spark 3.0 Google DataProc Project with NVIDIA GPUs in 6 simple steps

By Rahul Agarwal 04 August 2020

Data Exploration is a key part of Data Science. And does it take long?

Deep Learning Data Science How to run your ML model Predictions 50 times faster?

By Rahul Agarwal 24 June 2020

With the advent of so many computing and serving frameworks, it is getting stressful day by day for the developers to put a model into production .

Big Data Data Science Awesome Guides The Most Complete Guide to pySpark DataFrames

By Rahul Agarwal 24 June 2020

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

Data Science is an awesome culmination of Programming and Statistics. Right now, it encompasses Machine Learning and even Artificial intelligence. The most common problems in here to solve are Classification, Regression, Recommender Systems, Anomaly detection, etc.

About Me

Topics

Tags

Connect With Me