Viewing entries in
Tutorial

BEHAVIORAL ANALYSIS OF GITHUB AND STACKOVERFLOW USERS

Comment

BEHAVIORAL ANALYSIS OF GITHUB AND STACKOVERFLOW USERS

In this blog post, we will take a look at the activity on websites that became a significant part of development across all areas in, as well as, outside of Data Science: GitHub and StackOverflow. It doesn't matter where developers are from or what their specific focus is, everyone uses these websites.

Comment

TUTORIAL: SCRAPING AND ANALYSING AMAZON REVIEWS

1 Comment

TUTORIAL: SCRAPING AND ANALYSING AMAZON REVIEWS

In this tutorial we will show you how to scrape reviews from an amazon product page. This data can be used to create datasets for sentiment analysis or other educational or research purposes. If you sell products on Amazon it can even be useful to analyse the reviews to understand what customers like and dislike about your product. Let's dive in!

1 Comment

Tutorial: Find Semantic Similarities Across Facebook Posts

Tutorial: Find Semantic Similarities Across Facebook Posts

In this tutorial we will use modern Natural Language Processing techniques to find similar posts in a Facebook group. You have probably been in a situation where you want to post something in a Facebook group but you are not sure whether almost the same post already exists and is maybe just hiding on the next page. This technique will prevent you from bothering the group users with repeating questions :-)

Tutorial: Introduction to visualization in Plotly

Tutorial: Introduction to visualization in Plotly

Data Visualization is a fun but pretty complex part of Data Science. Getting it right is very important and we put a lot of focus on it in our online bootcamp. Today, I will introduce you to Plotly, a great open source tool for building interactive visualizations built on top of Javascript and D3. So let's get started.

Tutorial: 5 Shell Commands For Every Data Scientist

Tutorial: 5 Shell Commands For Every Data Scientist

In this short series, we would like to introduce to you the basic concepts of Data Science and tools to get you started on your Data Science path.  As  you make your transition into Data Science you will, sooner or later, feel the need to start using Unix based operating systems and one of the reasons is the availability and usefulness of the Unix shell. Learn more.