An ultimate guide on how to build your custom NLP classification model using Transformers — This tutorial is an ultimate guide on how to train your custom NLP classification model with transformers, starting with a pre-trained model and then fine-tuning it using transfer learning. We will work with the HuggingFace library, called “transformers”. Classification Model For exhibition purposes, we will build a classification model trying to predict…

Studio Lab Tutorial: How to Connect with S3 — AWS’s response to the Google Colab is the AWS SageMaker Studio Lab. In this tutorial, we will show you how to connect AWS SageMaker Studio Lab with S3. Install the awscli Library We can work with the Jupyter notebooks directly. First, we will install the awscli library. %pip install awscli

Tutorial: How to clean text in NLP tasks — In NLP tasks, we used to apply some text cleansing before we move to the Machine Learning part. Of course, there are many approaches, but in this tutorial, we will show you a basic approach that includes the following steps: Convert text to lower case Remove leading and trailing whitespace …

A walk-through example of how to remove stopwords from text in Python — In many NLP tasks, it is necessary to remove “stopwords” from the text. Usually, by “stopwords” we mean the words that occur frequently and don’t contribute much to the overall meaning of the sentence. …

A practical example of how to remove punctuation from text efficiently in Python — In NLP projects, we used to remove punctuation from the text. However, we should be very careful when we perform such tasks, depending on the project since punctuations can actually be very important like sentiment analysis and so on. Let’s provide some examples: import re import string text = "This…

Example of Stemming and Lemmatization in Python using NLTK — In this tutorial, we will show you how to use stemming and lemmatization in NLP tasks. You can find more info about stemming and lemmatization in this post from Stanford. Stemming Stemming is a rule-based process that converts tokens into their root form by removing the suffixes. …

An example of how to detect trends, taking as an example the Bitcoin using Python and the Kraken API — You may have heard the terms “bull” and “bear” markets, which are terms to describe a trend in the market. There are different ways to detect trends, but the most popular one is the Average Directional Movement Index (ADX). The ADX Formula In order to derive the ADX, first, we will need to…

A practical example of how you can store variables in Jupyter Notebook Database — With the storemagic command %store we can store variables in IPython’s database. More particularly, the variables are stored under ~/.ipython/profile_default/db/autorestore/<variable_name>. Let’s continue with some examples. # create a dictionary of your credentials my_creds = {'username':'George', 'password': 'StrongPassword'}

To Show your Appreciation for Stories that you Found Useful — My Appreciation of the Data Science Community I consider myself an “Applied Data Scientist” and I have 15+ years of experience. I have to admit that on a daily basis, I use amazing tools that some people have built and offer for FREE. Just to give some examples: Programming Languages Python R Bash/Shell Libraries Pandas NumPy Scikit Learn