Choose category:
Get Started with 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
Get Started with TensorFlow Recommenders and Matrix Factorization
In this post, we will work with the TensorFlow tutorial where we will try to go deeper by showing: How
Mastering Sentence Transformers For Sentence Similarity
Sentence transformers is a Python framework for state-of-the-art vector representations of sentences. Having the sentences in space we can compute
How to Read and Write Files in Python
Most Data Scientists use Pandas for reading files, provided that the data are structured. In this tutorial, we will work
How To Manage Multiple Screen Sessions
Linux’s Screen lets you run terminal applications to a Server in the background even if you disconnect from the ssh connection.
Exceptions in Python
In this tutorial, we will provide you with an example of exception handling in Python. For simplicity, we will work
HTTP Status Codes
The first digit of an HTTP status code indicates the category of the response: Information, Successful, Redirection, Client Error or
How To Add Filters For Querying Databases In Streamlit
In this tutorial, we will show you how you can use filters for databases in Streamlit. We will use PostgresSQL
How to Fine-Tune an NLP Regression Model with Transformers and HuggingFace
HuggingFace provides us with state-of-the-art pre-trained models that can be used in many different applications. In this post, we will
How to Build an NLP Classification Model with Transformers on AWS SageMaker
In a previous tutorial, we have provided you with an example of how to fine-tune an NLP classification model with
How to Fine-Tune an NLP Classification Model with Transformers and HuggingFace
This tutorial is an ultimate guide on how to train your custom NLP classification model with transformers, starting with a
Text Cleansing in NLP Tasks
In NLP tasks, we used to apply some text cleansing before we move to the Machine Learning part. Of course,
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
How to Detect Trends in Cryptocurrencies with ADX using Kraken API
You may have heard the terms “bull” and “bear” markets, which are terms to describe a trend in the market.
How to create Heatmap on a Map in Python
In this post, we will show you how to create a heatmap on an actual map using Plotly. What we
How I helped a retail Company using my Data Science skills
Data scientists are like swiss army knives, we can use our knowledge nearly everywhere if we try to understand and
How to Apply an RSI Trading Strategy to your Cryptos
One of the most famous indicators in algorithmic trading and technical analysis is the Relative Strength Index. Almost all trading
Bootstrap Sampling using Python
Bootstrapping is a method that estimates the population characteristics by using repeated sampling of a representative sample. In this post,
How to get the ROI of your Cryptocurrencies with Kraken API
Many cryptocurrency investors and traders use Kraken. So far, Kraken does not show you directly the P/L and/or ROI of
Get the Portfolio Balance with Kraken API
In this tutorial, we will show you how to get the balance of the portfolio using the Kraken API. We
How to Build a REST API Calling the SageMaker Endpoint
In this tutorial, we will show you how to build a public Rest API that calls the SageMaker Endpoint. The
