Are you interested in Data Science? Great! That is something we have in common. We have been helping people become Data Scientists through our bootcamps and online courses for some time now. But education is only one part of being a great Data Scientist. With new technologies, tools, trends, and techniques emerging every day, you just have to follow what's going on in the Data Science world.
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.
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!
Although I have a PhD in physics and have spent 10 years of my life achieving it, I now work as a Data Scientist. I made the transition a year ago and today I want to share my thoughts on this extreme turn in my career.
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 :-)