Nadieh Bremmer is an award winning data visualisation designer and former cosmologist. She specialises in uniquely crafted data visualisations, captivating data art, design advice & speaking. Her website Visual Cinnamon, is a fantastic resource for those interested in developing compelling interactive visualisationsRead More
GitHub repository for the book "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python."
This is the first major release of the Jupyter Notebook since version 4.0 and the "Big Split” of IPython and Jupyter. This release adds some long-awaited features, such as cell tagging, customizing keyboard shortcuts, copying & pasting cells between notebooks, and a more attractive default style for tables. It also comes with many improvements and bug fixes.
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In this tutorial, Jean-Nicholas Hould shares how he scraped the craft beer dataset he published on Kaggle. The tutorial uses urlopen, BeautifulSoup4, pandas, and re for regular expressions.Read More
A six-week course developed by astronomers at the University of Sydney. The course covers big-data algorithms, querying data with SQL, managing data, regression and classification techniques.Read More
A podcast on data visualization presented by Enrico Bertini and Moritz StefanerRead More
A great little data visualisation tutorial for those who want to learn RRead More
ThinkToStart is a blog focusing on the topics data science and R.Read More
A nice introduction to Support Vector Machine (SVM), a supervised machine learning algorithm which can be used for classification or regression problems. From the yhat blog.Read More
General Assembly offers innovative courses in design, marketing, technology, and data, online and at campuses worldwide. Join a class or better still, sign up to teach! Check out their blog.Read More
The Fitzroy Academy creates short informative laneway videos that very quickly get you up to speed with common tech and business processes and methodologies. Quintessentially Melbourne.
An elegantly beautiful interactive visual introduction to machine learning. Great for teaching and curious novices.Read More
Jake VanderPlas, Senior Data Scientist and Director of Research recently published the Python Data Science Handbook. This is a detailed guide to the most important Python tools for data science, covering IPython, Jupyter, NumPy, Pandas, Matplotlib, Scikit-Learn, and other tools.Read More
Sharpen your SQL and Python skills—no need to install any software or set up a dev environment. Mode Analytics tutorials use real-world data and are free. No coding experience necessary.Read More
Around this time last year BIDS fellow Katy Huff launched her new book Effective Computation in Physics: Field Guide to Research in Python, written with her co-author Anthony Scopatz and published through O’Reilly. Worth checking out if you haven't already.Read More