Скачать или смотреть How to Use SVD for Dimensionality Reduction in Python | Step-by-Step Guide

How to Use SVD for Dimensionality Reduction in Python | Step-by-Step Guide

In this video, we dive deep into Singular Value Decomposition (SVD) and its powerful applications in data science and machine learning. Learn how to reduce the dimensionality of your dataset, uncover hidden patterns, and make your models more efficient.

We cover everything from understanding SVD concepts, applying it to real data, to building machine learning models with reduced features. Whether you're a beginner or looking to refine your skills, this tutorial has you covered with clear, step-by-step instructions and Python code examples.
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Source Code:
https://github.com/Tarunvaka/SVD

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