Python pip Tips for Data Scientists
Data Scientists use to work with Anaconda Environments and for installing packages they use to run the “conda” commands. However,
Unix Sed Command Tutorial with Examples
Sed (stream editor) is a very powerful tool for parsing and transforming text that was developed back in 1973 at
Meta Analysis in R
Introduction We can analyze different scientific studies that address the same question by applying a meta-analysis. The assumption is that
How to Train a BERT Model with SageMaker
In this tutorial, we will provide an example of how we can train an NLP classification problem with BERT and
AWS BlazingText Tutorial
In this tutorial, we will show you how to train a text classifier using AWS SageMaker BazingText. We will consider
The Evolution of Text Analysis Algorithms
NLP is a relatively new concept in the field of Data Science. Let’s see the evolution of Text Analysis algorithms:
How to Transform an Unbalanced Dataset to a Balanced
We have provided examples of how you can Resample Data By Groups in Python and how you do Undersampling by
Pair Programming for Assessing Coding Skills in the Interview
Pair Coding Tools are really helpful for interviews if you want to assess the coding skills of the candidates. Introduction
Asynchronous Job Interviews is the Future
I will share my experience with an Asynchronous Job Interview and why I believe that it will be the future
How to Interact with AWS using AWS Data Wrangler
In the previous posts, we have provided examples of how to interact with AWS using Boto3, how to interact with
Debug Models and Explain Predictions using Eli5
An important step when working with machine learning models is debugging. For example, when we are working with text we
