Overview: Free datasets are essential for practice, research, and AI model development.Platforms like Kaggle, UCI, and Google ...

Metaflow manages Python data science projects end-to-end, works with any machine learning library, and integrates with AWS cloud services Netflix has open sourced Metaflow, an internally developed ...

Already using NumPy, Pandas, and Scikit-learn? Here are five more powerful Python data science tools that deserve a place in your toolkit.

IBM Data Science Professional Certificate teaches Python, SQL, data visualization, and machine learning with hands-on ...

Python for Data Science Essential Training is one of the most popular data science courses at LinkedIn Learning. This is course 1 of 2.

The latest annual Python Developers Survey took the pulse of over 30,000 developers to see what makes the community tick in ...

Anaconda, a provider of open-source Python software for data science and AI, has raised more than $150 million in a Series C funding round, valuing the startup at about $1.5 billion.

I've identified collaboration as one of the critical gaps that organizations must bridge to transform their data science success rates.

What are some use cases for which it would be beneficial to use Haskell, rather than R or Python, in data science? This question was originally answered on Quora by Tikhon Jelvis.