Open source is the backbone driving digital innovation (Gartner, 2019). It’s crucial to many of today’s leading-edge digital fields, including data science and machine learning. No single technology ...

This course aims to cover various tools in the process of data science for obtaining, cleaning, visualizing, modeling, and interpreting data. Most of the tools introduced in this course will be based ...

It is well-known that data scientists spend about 90% of their time performing data logistics-related tasks. Anything that a data scientist can do to reduce it is a good use of their time, and a ...

Image Credits: Neptyne Neptyne is different in that it packs a Python-based spreadsheet engine, Python being the programming language popularly used for data science.

Key Takeaways The transition requires upskilling in Python, statistics, and machine learning.Practical experience with ...

Stefanie Molin's new book, “Hands-On Data Analysis with Pandas" is about using the powerful pandas library to get started with machine learning in Python.

The RAPIDS suite of software libraries give data scientists the freedom to execute end-to-end data science and analytics pipelines entirely on GPUs.