Python for Data Science: ODSC Guides, Tutorials, and Articles

More notebooks for Think Stats

Blog Python Statistics Statisticsposted by Allen Downey May 15, 2017

More notebooks for Think Stats As I mentioned in the previous post, I am getting ready to teach Data Science in the spring, so I am going back through Think Stats and updating the Jupyter notebooks. I am done with Chapters 1 through 6 now. If you are reading... Read more

Handwritten digits recognition using Tensorflow with Python

Deep Learning Modeling Python Tools & Languages Machine Learning|Neural Networks|TensorFlowposted by Saimadhu Polamuri May 11, 2017

The progress in technology that has happened over the last 10 years is unbelievable. Every corner of the world is using the top most technologies to improve existing products while also conducting immense research into inventing products that make the world the best place to live.... Read more

RIDE – A New Data Science IDE for Python and R

Python R Tools & Languagesposted by May 9, 2017

The data science world is split into two parts: the (i)Python and the R community. Both groups offer a plethora of tools and libraries enriching our work-life as a data scientist. Interestingly, many of the offerings are complementary, such that professional data scientists should know both... Read more

Introduction to Natural Language Processing with NLTK

Modeling NLP/Text Analytics Python Tools & Languages Beginner|Intro|Natural Language Processing|NLTK|text analyticsposted by Sukanya Mandal May 7, 2017

Hello all and welcome to the second of the series – NLP with NLTK. The first of the series can be found here, incase you have missed. In this article we will talk about basic NLP concepts and use NLTK to implement the concepts. Contents: Corpus... Read more

Dealing with arrays which are bigger than memory – an introduction to biggus

Data Wrangling Modeling Python Tools & Languagesposted by Philip Elson April 25, 2017

I often deal with huge gridded datasets which either stretch or indeed are beyond the limits of my computer’s memory. In the past I’ve implemented a couple of workarounds to help me handle this data to extract meaningful analyses from them. One of the most intuitive... Read more

New notebooks for Think Stats

Modeling Python Statistics Tools & Languages Statisticsposted by Allen Downey April 22, 2017

Getting ready to teach Data Science in the spring, I am going back through Think Stats and updating the Jupyter notebooks. When I am done, each chapter will have a notebook that shows the examples from the book along with some small exercises, with more substantial... Read more

Streaming Video Analysis in Python

Python Tools Tools & Languages classification|Jupyter|Pythonposted by SVDS April 12, 2017

This was originally posted on the Silicon Valley Data Science blog by authors Matthew Rubashkin Data Engineer at SVDS, and Colin Higgins, Data Scientist at Vevo. At SVDS we have analyzed Caltrain delays in an effort to use real time, publicly available data to improve Caltrain arrival predictions.... Read more

Dropout with Theano

Deep Learning Modeling Python Tools Tools & Languages Python|Theanoposted by Rishabh Shukla April 2, 2017

Almost everyone working with Deep Learning would have heard a smattering about Dropout. Albiet a simple concept (introduced a couple of years ago), which sounds like a pretty obvious way for model averaging, further resulting into a more generalized and regularized Neural Net; still when you... Read more

How the Logistic Regression Model Works in Machine Learning

Modeling Predictive Analytics Python Intro|Machine Learning|Pythonposted by Saimadhu Polamuri March 30, 2017

In this article, we are going to learn how the logistic regression model works in machine learning. The logistic regression model is one member of the supervised classification algorithm family. The building block concepts of logistic regression can be helpful in deep learning while building the... Read more

Maps and sets can have quadratic-time performance

Python Tools & Languages Programming Languageposted by Daniel Lemire March 29, 2017

Swift is a new programming language launched by Apple slightly over two years ago. Like C and C++, it offers ahead-of-time compilation to native code but with many new modern features. It is available on Linux and macOS. Like C++, Swift comes complete with its own... Read more