This is an interactive tutorial that will allow learning the GIS key concepts while using QGIS — Do you want to learn geospatial data analysis and don’t you know where to start? Then, this tutorial is for you. There are a lot of concepts that are taken for granted when you begin this journey and will allow you to manipulate geographic information in your dataset. Geospatial data…

A tutorial to create and deploy a telegram bot that takes in music in real-time, and helps you to search the title and the singer — When you listen to music outside, like in a bar or a shop, and you really like it, don’t you wonder what the song’s title and the singer’s name are? It happened to me a lot of times and there is only one solution. Shazam. Download it and tap the…

A step-by-step guide for training your unsupervised model using a new and improved way to deal with the dataset — When you read reviews from e-commerce websites, the first thing you tend to do is to search for different aspects of a product. Imagine you are searching for an apartment to rent for a vacation on Booking.com. Did you ever notice that it suggests topics? …

Top 12 Pandas functions that can help you to analyze and manipulate fastly your dataset — I’ve already written tutorials about Pandas before, but it’s amazing how I discover new things while exploring and manipulating datasets. Recently, I started a new work experience, and I was amazed by how every function taken for granted can really save your life by discovering hidden patterns in your data. …

This tutorial focus on building a web application with MLflow, Sagemaker and Streamlit — This article is in continuation of the story How to deploy your ML model using DagsHub+MLflow+AWS Lambda. In the previous story, I showed how to train and deploy a model to detect irregular heart rhythms from ECG signals. The benchmark dataset was the ECG5000 dataset, which contains 5000 heartbeats randomly…

An intuitive tutorial that shows how to deploy the trained model and make predictions on new data — The deployment of the machine learning model is one of the most important skills for a data scientist. Once you clean the data, select the best features from the dataset, set up the hyperparameters, and train your model, the last step is to put the model in production in order…

A step-by-step tutorial to build and deploy a web application for topic modelling of a Spotify Podcast — The article is in continuation of the story How to build a Web App to Transcribe and Summarize audio with Python. In the previous post, I have shown how to build an app that transcribes and summarizes the content of your favourite Spotify Podcast. …