Author: Federico Viscioletti
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How Amazon Bedrock improved speed in LLM testing
This article is about Amazon Bedrock and its value proposition in the LLM arena. Using this tool, I tested different LLMs for a text classification task.
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Empower Your Projects: Building the Future with ChatGPT’s PromptGPT—A Breakthrough in App Development
This article explores how I turned an idea into a web app in one day, using HTML, CSS, and JavaScript. Discover how ChatGPT streamlines making web apps, making easier web development for everyone.
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Elevate Data Analysis: The Ultimate Pandas Guide to Conditional Columns
In this article, discover an easy Pandas trick: Create conditional columns. You can create new columns in your DataFrame using this trick. Conditions applied to existing data serve as the basis for the new columns. It’s useful for feature engineering, data cleaning, or preparing data. Use it for analysis or modelling tasks.
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How to handle pull requests in git and GitHub
Software development is changing. Mastering pull requests in Git and GitHub is like learning diplomacy in coding. This article starts aims to explain the details of this art. It presents a guide for both the raiser and the reviewer. At its core, the process is a delicate balance. It is about proposing improvements in a…
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Peak Performance Modeling: Harnessing Bagging and Boosting for Superior Results
In the world of machine learning, two key ensemble techniques stand out. They can improve model performance. They are: bagging and boosting. But how do you decide which one to use? Let’s break it down.
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Decision Trees in a Nutshell: A ‘Statistics in Pills’ Perspective
Welcome to “Statistics in Pills.” We simplify complex machine learning concepts into bite-sized, easy-to-understand insights. Today’s topic is the fascinating Decision Trees algorithm. It is a fundamental tool in machine learning. It plays a crucial role in the field. Understanding Decision Trees: The Simplicity Behind Complexity Picture a tree, not one that you find in…
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Decoding Neural Networks: AI’s Fascinating Mimicry of the Human Brain
Welcome to “Statistics in Pills.” This series explains complex data science and machine learning concepts. Today, we’re diving into the intriguing world of Neural Networks. They are the powerhouse behind today’s AI revolution. The Essence of Neural Networks Imagine a labyrinthine network of neurons. Each fires and interlinks. The system mirrors the complexities of the…
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Python Analysis Made Easy: ChatGPT’s Noteable Plugin VS Code Interpreter
Jupyter Notebooks are important for data science. They help with analyzing, visualizing, and developing algorithms. Data scientists need to manage notebooks well to explore and model together. In this article, we’ll look at two tools that can automate EDA and modeling. These tools are Noteable ChatGPT plugin and OpenAI’s Code Interpreter. Diving into the Noteable…
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How to Choose the Best Categorical Encoding Method
aka do not one-hot encode everything. In this article, we will look at how to encode categories and avoid dimensionality issues.
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Data Science Teamwork Made Easy with Git: A Step-by-Step Guide
In this article I will go through the steps to successfully work as a team on a shared project by using git.
