Categorical variables are pivotal as they often carry essential information that influences the outcome of predictive models. However, their non-numeric nature presents unique challenges in model processing, necessitating specific strategies for encoding. This post will begin by discussing the different types of categorical data often encountered in datasets. We will explore ordinal encoding in-depth and how it can be leveraged when implementing a Decision Tree Regressor. Through practical Python examples using the OrdinalEncoder from sklearn and the Ames Housing dataset, […]

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7 Open-Source Machine Learning Projects You Can Contribute To TodayImage by Author | Created on Canva Are you a machine learning enthusiast looking to level up your skills? If so, contributing to open-source machine learning projects is one of the best ways to improve your coding skills. When you work on open-source ML tools, you’ll learn more about how ML frameworks work internally. You’ll also get to improve your coding practices, debugging skills, and become familiar with large codebases. In […]

Image by Author | Ideogram5 Free Books on Computer Vision Computer vision is a branch of Artificial Intelligence (AI) that studies how machines can interpret and understand visual information, such as images and videos. Most computer vision models today are based on deep learning architectures like Convolutional Neural Networks (CNNs), which excel at tasks such as image classification, object detection, and segmentation. However, the necessary fundamentals to deeply understand the field date back to earlier times. To help you master […]

Understanding RAG III: Fusion Retrieval and RerankingImage by Editor | Midjourney & Canva Check out the previous articles in this series: Having previously introduced what is RAG, why it matters in the context of Large Language Models (LLMs), and what does a classic retriever-generator system for RAG look like, the third post in the “Understanding RAG” series examines an upgraded approach to building RAG systems: fusion retrieval. Before deep diving, it is worth briefly revisiting the basic RAG scheme we […]