Published in Level Up Coding·6 days agoMember-onlyGet Started with Hugging Face Auto TrainHands-on tutorial on Hugging Face Auto Train — Hugging Face has launched the auto train, which is a new way to automatically train, evaluate and deploy state-of-the-art Machine Learning models. It enables us to train custom machine learning models by simply uploading the data. Under the hood, it runs automatically different models. Finally, we use our models directly…Hugging Face5 min read
Published in Geek Culture·Sep 25Member-onlyGet Started with TensorFlow Recommenders and Matrix FactorizationA hands-on tutorial on recommender systems with TensorFlow — In this post, we will work with the TensorFlow tutorial where we will try to go deeper by showing: How to start with a pandas data frame instead of a TensorFlow datasets How to get the Users’ and Items’ Embeddings How to find the expected score for every item for…Tensorflow Recommenders5 min read
Published in Level Up Coding·Aug 25Member-onlyHow to Read and Write Files in PythonTutorial on how to handle files in Python — Most Data Scientists use Pandas for reading files, provided that the data are structured. In this tutorial, we will work with the “open” built-in function that takes two arguments, such as the file name and the mode. The mode indicates what action is required like reading, writing or creating and…Read File Python4 min read
Published in Geek Culture·Jul 30Member-onlyExample of args and kwargs in PythonHands-on examples of args and kwargs in Python — With args, we can pass in any amount of non-keyword variables, while with kwargs we can pass in any amount of keyword arguments. We will explain the args and kwargs using an example of a sum function. More particularly, assume that we would like to build a function that sums…Args And Kwargs1 min read
Published in Level Up Coding·Jul 30Member-onlyExceptions in PythonHands-on tutorial about Exceptions in Python — In this tutorial, we will provide you with an example of exception handling in Python. For simplicity, we will work with the division function. Let’s start with a simple version. def div_func(a,b): return a/b print(div_func(10,2)) 5.0 The function seems to work correctly. …Exceptions3 min read
Published in Geek Culture·Jun 16Member-onlyHow to Build an NLP Classification Model with Transformers on AWS SageMakerHow to Train Transformers on AWS SageMaker using a GPU instance — In a previous tutorial, we have provided you with an example of how to fine-tune an NLP classification model with Transformers and HuggingFace. In this tutorial, we will show you how to train the model on AWS SageMaker using a GPU instance. Then we can save the model and load…Transformers5 min read
Published in Level Up Coding·Jun 7Member-onlyHow to Fine-Tune an NLP Classification Model with Transformers and HuggingFaceAn 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…Transformers4 min read
Published in AWS in Plain English·May 31Member-onlyHow to Connect Amazon SageMaker Studio Lab with S3Studio 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 awscliAWS3 min read
Published in Level Up Coding·May 30Member-onlyText Cleansing in NLP TasksTutorial: 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 …Text Mining3 min read
Published in Level Up Coding·May 29Member-onlyHow to Remove Stopwords from Text in PythonA 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. Some examples of the stopwords are the {"a", "an", "the", "this", "that", "is", "it", "to", "and"}…NLP2 min read
