Written by a data scientist with decades of practical experience on some of the most challenging datasets, this book caters to both novices and professionals working in the fields of data science and ...

Build, test, and deploy high performing data science and machine learning systems with FastAPI; Book Description FastAPI is a web framework for building APIs with Python 3.6 and its later versions ...

Book Abstract: Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience ...

The "Python Machine Learning (2nd edition)" book code repository and info resource - rasbt/python-machine-learning-book-2nd-edition. Skip to content. Navigation Menu Toggle navigation. Sign in ...

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.

Win for Python. This is not a big issue in Data Science, but it does come up in some contexts. Classical computer science data structures, e.g. binary trees, are easy to implement in Python. This can ...

Learn about some of the best Python libraries for programming Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL).

Today’s best data science courses offer hands-on experience with Python, SQL, libraries, basic machine learning models and more.

Nvidia wants to extend the success of the GPU beyond graphics and deep learning to the full data science experience. Open source Python library Dask is the key to this.

I have set up a separate library, mlxtend, containing additional implementations of machine learning (and general "data science") algorithms. I also added implementations from this book (for example, ...