Eugenia Anello – Medium

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My Most Read Medium Stories

And my posts categorized according to various topics — If you appreciated my articles and would like to focus on one or more specific topics, this post will be useful for you. I am going to provide comprehensive tutorials on a range of Data Science topics. Each category has a list of articles, that will help you to save…

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My Most Read Medium Stories

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Published in Towards Data Science

·6 days ago

How to build a Shazam-like Telegram Bot using Python

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…

9 min read

How to build a Shazam-like Telegram Bot using Python

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Published in Towards AI

·Jan 6

Topic Modeling for E-commerce Reviews using BERTopic

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? It’s surely a useful feature…

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Topic Modeling for E-commerce Reviews using BERTopic

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Published in Towards AI

·Dec 29, 2022

My Pandas Cheatsheet for Exploratory Analysis and Data Manipulation

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. …

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My Pandas Cheatsheet for Exploratory Analysis and Data Manipulation

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Published in MLearning.ai

·Nov 25, 2022

Building a Web Application to detect Breast Cancer in Ultrasound images

A friendly guide to easily do Object Detection on medical images — Last month was designated as the pink month, dedicated to raising awareness of breast cancer and encouraging women to prevention through medical visits. The mortality of this disease can decrease significantly if the diagnosis is done earlier and, then, a lot of lives can be saved. The most common way…

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Building a Web Application to detect Breast Cancer in Ultrasound images

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Published in Towards Data Science

·Nov 8, 2022

An End to End Web App to detect anomalies from ECG signals with Streamlit

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…

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An End to End Web App to detect anomalies from ECG signals with Streamlit

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Published in Towards Data Science

·Oct 5, 2022

CFA Paper Review: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly Localization

A novel anomaly localization approach that produces the features adapted to the target dataset and employs transfer learning — This article is in continuation of the stories Paper Review: Reconstruction by inpainting for visual anomaly detection and GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training. In the previous posts, I covered reconstruction-based approaches that identify anomalies in images. Models, such as autoencoder and generative adversarial networks, can be…

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CFA Paper Review: Coupled-hypersphere-based Feature Adaptation for Target-Oriented Anomaly…

10 min read

Published in Towards Data Science

·Sep 14, 2022

How to deploy your ML model using DagsHub+MLflow+AWS Lambda

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…

10 min read

How to deploy your ML model using DagsHub+MLflow+AWS Lambda

10 min read

Published in Towards Data Science

·Sep 1, 2022

Creating a Web Application to extract topics from audio with Python

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. The summary of a text can…

7 min read

Creating a Web Application to extract topics from audio with Python

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Published in Towards Data Science

·Aug 22, 2022

GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training

A novel anomaly detection model that combines Autoencoder with Generative Adversarial Network — This article is in continuation of the story Paper Review: Reconstruction by inpainting for visual anomaly detection. In the previous post, I reviewed a novel method that improves anomaly detection performances by passing images with random blocks to the U-net. This tutorial can be useful to make you understand how…

9 min read

GANomaly Paper Review: Semi-Supervised Anomaly Detection via Adversarial Training

9 min read

Eugenia Anello

Eugenia Anello

Research fellow in Interpretable Anomaly Detection | Top 1500 Writer on Medium | Love to share Data Science articles| https://www.linkedin.com/in/eugenia-anello

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