--- title: "#pca articles | Hashnode" description: "Explore 36 articles tagged #pca on Hashnode. Tutorials, guides, and how-tos from the community." url: "https://hashnode.com/tag/pca" --- Tag # #pca 36 posts · 0 followers [Mohitm](https://hashnode.com/@mohitm) · [Sep 1](https://hashnode.com/posts/what-pca-is-actually-doing-to-your-data/6a964b1846119e8824fa4b4a) ### [What PCA is actually doing to your data](https://monthlydatascience.hashnode.dev/what-pca-is-actually-doing-to-your-data?utm_source=hashnode&utm_medium=feed) It only sees variance, it never sees your target 7 min read · [monthlydatascience.hashnode.dev](https://monthlydatascience.hashnode.dev/what-pca-is-actually-doing-to-your-data?utm_source=hashnode&utm_medium=feed) [Divyajot Kaur](https://hashnode.com/@djk2004) · [Aug 6](https://hashnode.com/posts/understanding-principal-component-analysis-pca/6a7431fa1478ec9628bbc558) ### [Part 17: Principal Component Analysis (PCA): Simplifying Complex Data](https://ai-beginners-journey.hashnode.dev/understanding-principal-component-analysis-pca?utm_source=hashnode&utm_medium=feed) Understand dimensionality reduction, variance, and principal components with simple real-life examples. 6 min read · [ai-beginners-journey.hashnode.dev](https://ai-beginners-journey.hashnode.dev/understanding-principal-component-analysis-pca?utm_source=hashnode&utm_medium=feed) [Yejun Park](https://hashnode.com/@yejun) · [May 30](https://hashnode.com/posts/from-thousands-of-features-to-a-few-a-deep-dive-into-dimensionality-reduction/6a1acfe5fd30dc1666f44960) ### [From Thousands of Features to a Few: A Deep Dive into Dimensionality Reduction](https://yejunpark3.hashnode.dev/from-thousands-of-features-to-a-few-a-deep-dive-into-dimensionality-reduction?utm_source=hashnode&utm_medium=feed) Dimensionality reduction: why it matters, key challenges (curse of dimensionality, redundancy), and techniques to compress high-dimensional data. 13 min read · [yejunpark3.hashnode.dev](https://yejunpark3.hashnode.dev/from-thousands-of-features-to-a-few-a-deep-dive-into-dimensionality-reduction?utm_source=hashnode&utm_medium=feed) [Anik Chand](https://hashnode.com/@anikchand461) · [May 24](https://hashnode.com/posts/13-pca/6a12e53f551486ce6cfae196) ### [#13 PCA](https://anikchandml.hashnode.dev/13-pca?utm_source=hashnode&utm_medium=feed) PCA (Principal Component Analysis) is a dimensionality reduction technique and helps us to reduce the number of features in a dataset while keeping the most important information. It changes complex d 8 min read · [anikchandml.hashnode.dev](https://anikchandml.hashnode.dev/13-pca?utm_source=hashnode&utm_medium=feed) [Ayomide Zaccheaus](https://hashnode.com/@Papizee) · [Feb 23](https://hashnode.com/posts/when-the-machine-finds-patterns-you-didn-t-tell-it-to-look-for/699c7dc340e1f055acbd4f72) ### [When the Machine Finds Patterns You Didn't Tell It to Look For](https://papizee.hashnode.dev/when-the-machine-finds-patterns-you-didn-t-tell-it-to-look-for?utm_source=hashnode&utm_medium=feed) This is Week 19 of my data science journey, the week I stopped telling the algorithm what to find and started letting it discover patterns on its own. If you've been following since Week 18, welcome b 13 min read · [papizee.hashnode.dev](https://papizee.hashnode.dev/when-the-machine-finds-patterns-you-didn-t-tell-it-to-look-for?utm_source=hashnode&utm_medium=feed) [Uplatz](https://hashnode.com/@uplatz-training) · [Dec 11, 2025](https://hashnode.com/posts/dimensionality-reduction-techniques/693b3de881d46587343b2a6b) ### [Dimensionality Reduction Techniques](https://uplatz.hashnode.dev/dimensionality-reduction-techniques?utm_source=hashnode&utm_medium=feed) Managing High-Dimensional Data for Better Performance, Interpretability, and Generalization 3 min read · [uplatz.hashnode.dev](https://uplatz.hashnode.dev/dimensionality-reduction-techniques?utm_source=hashnode&utm_medium=feed) [Masir Jafri](https://hashnode.com/@masirjafri) · [Nov 9, 2025](https://hashnode.com/posts/feature-engineering-the-art-of-shaping-data/6910f41d8a6f9e68e962be53) ### [Feature Engineering - The Art of Shaping Data](https://blog.masirjafri.in/feature-engineering-the-art-of-shaping-data?utm_source=hashnode&utm_medium=feed) Learn the art of Feature Engineering in Machine Learning - from handling missing data and scaling features to building powerful, model-ready datasets. 5 min read · [blog.masirjafri.in](https://blog.masirjafri.in/feature-engineering-the-art-of-shaping-data?utm_source=hashnode&utm_medium=feed) [Saket Khopkar](https://hashnode.com/@SSK910) · [Nov 5, 2025](https://hashnode.com/posts/day-19-principal-component-analysis-pca/690b194fe80d2b1e7000de9e) ### [Day 19: Principal Component Analysis (PCA)](https://learnaimldswithsk.hashnode.dev/day-19-principal-component-analysis-pca?utm_source=hashnode&utm_medium=feed) "Finding the most important story in a mountain of data" 4 min read · [learnaimldswithsk.hashnode.dev](https://learnaimldswithsk.hashnode.dev/day-19-principal-component-analysis-pca?utm_source=hashnode&utm_medium=feed) [Uplatz](https://hashnode.com/@uplatz-training) · [Oct 16, 2025](https://hashnode.com/posts/ai-models-explained-principal-component-analysis-pca/68f1258be199bcd3e8ae1ef3) ### [🏷 AI Models Explained: Principal Component Analysis (PCA)](https://uplatz.hashnode.dev/ai-models-explained-principal-component-analysis-pca?utm_source=hashnode&utm_medium=feed) How PCA simplifies data, reduces dimensions, and reveals the core structure of complex datasets. 2 min read · [uplatz.hashnode.dev](https://uplatz.hashnode.dev/ai-models-explained-principal-component-analysis-pca?utm_source=hashnode&utm_medium=feed) [sambit choudhury](https://hashnode.com/@smbtchdhry) · [Sep 5, 2025](https://hashnode.com/posts/from-pixels-to-patterns-a-visual-guide-to-pca/68bb7399881edef26f226cd9) ### [From Pixels to Patterns: A Visual Guide to PCA](https://aiml-journey.hashnode.dev/from-pixels-to-patterns-a-visual-guide-to-pca?utm_source=hashnode&utm_medium=feed) A visual guide to dimensionality reduction, showing how matrix operations transform high-dimensional data into meaningful features. 8 min read · [aiml-journey.hashnode.dev](https://aiml-journey.hashnode.dev/from-pixels-to-patterns-a-visual-guide-to-pca?utm_source=hashnode&utm_medium=feed)