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A Gentle Introduction to Principal Component Analysis (PCA) in Python

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By Iván Palomares Carrascosa , KDnuggets Technical Content Specialist on July 4, 2025 in Python Image by Author | Ideogram Principal component analysis (PCA) is one of the most popular techniques for reducing the dimensionality of high-dimensional data. Now we can apply the PCA algorithm.

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Machine Learning Algorithms Explained with Real-World Use Cases

How to Learn Machine Learning

In today’s data-driven world, machine learning fuels creativity across industries-from healthcare and finance to e-commerce and entertainment. For many fulfilling roles in data science and analytics, understanding the core machine learning algorithms can be a bit daunting with no examples to rely on.

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Understanding Associative Classification in Data Mining

Pickl AI

Popular tools for implementing it include WEKA, RapidMiner, and Python libraries like mlxtend. For instance, a classification algorithm could predict whether a transaction is fraudulent or not based on various features. Key applications include fraud detection, customer segmentation, and medical diagnosis.

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What is Data-driven vs AI-driven Practices?

Pickl AI

A generative AI company exemplifies this by offering solutions that enable businesses to streamline operations, personalise customer experiences, and optimise workflows through advanced algorithms. Data forms the backbone of AI systems, feeding into the core input for machine learning algorithms to generate their predictions and insights.

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How IDIADA optimized its intelligent chatbot with Amazon Bedrock

AWS Machine Learning Blog

Libraries The programming language used in this code is Python, complemented by the LangChain module, which is specifically designed to facilitate the integration and use of LLMs. For the classfier, we employed a classic ML algorithm, k-NN, using the scikit-learn Python module. This method takes a parameter, which we set to 3.

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Understanding Naïve Bayes and Support Vector Machine and their implementation in Python

Analytics Vidhya

The post Understanding Naïve Bayes and Support Vector Machine and their implementation in Python appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Introduction In this digital world, spam is the most troublesome challenge that.

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Support Vector Machine: Introduction

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction In this article, we will be discussing Support Vector Machines. The post Support Vector Machine: Introduction appeared first on Analytics Vidhya.