Data Story: NLP Extract words from the bible
The goal of this study is to quantify and analyze words from the bible. I will not enter into all the coding details, but, the full code is available on my github.
Read more
Experienced Data Scientist, NLP Interview Questions, Journey & Process
Learning Data Science is easy but preparing for an interview is not an easy job. During the data science interview, the interviewer will ask you a wide range of questions, the questions you have never expected. If you are still looking for how to prepare for an interview, this series is for you. I’ll be helping
Read more
Find what Taylor Swift is singing about using NLP with Python.
After the presale ticket sales opened for Taylor Swift’s “Eras” tour — her first tour since 2018 — a mad rush ensued, leading to “historically unprecedented demand” that snapped up 2 million tickets, the most tickets ever sold for one artist in a day. The aftermath, termed “Taylor Swift’s Ticketmaster meltdown” has become a prevalent topic, even taking political dimensions and stimulating bipartisan outrage from some Democrats and Republicans who have questioned whether Ticketmaster handled the Swift ticket rollout appropriately. […]
Read more
NLP Unlocked: NER #005
NLP unleashed: unleashing the power of natural language processing.
Read more
Week 2— Eye Tracking and Prior Knowledge
by Alper Özöner and Ali Utku Aydın This week, we have made some progress on the model selection as well as the representation of the eye tracking data we obtained from our EyeTribe eye tracker. First off, we have finally solved the problem of reading the raw data and its formatting. Amusingly, the formatting of
Read moreUsing Python’s pathlib Module
Have you struggled with file path handling in Python? With the pathlib module, the struggle is now over! You no longer need to scratch your head over code like this: >>> >>> path.rsplit(”, maxsplit=1)[0] And you don’t have to cringe at the verbosity of something like this: >>> >>> os.path.isfile(os.path.join(os.path.expanduser(‘~’), ‘realpython.txt’)) In this video course, you’ll learn how to: Work with file
Read more
Iterations on the Modern Data Stack
You might have noticed the dust on images in the icons and AWS UI. These are screenshot from 2016 (gulp), so reproducing these exact steps will be challenging to say the least. For example, at the time I felt generous enough to try Atom as my text editor — the redeeming value is that at least it was an Electron app. But S3 explorer? Fast forward five years, and, with some minor exceptions, it can still server as a valid […]
Read moreNLP Unlocked: POS-tagging #004
NLP unleashed: unleashing the power of natural language processing.
Read more
Training and Hosting Bert model using Amazon Sagemaker and Flask
Amazon Sagemaker is a very popular service by AWS for building, training, and deploying machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. In this post, I will use Amazon Sagemaker to build a binary text classification model using bert-base-uncasedmodel on
Read more