# Blog

Welcome to my blog!

### DIY Decision Trees

decison trees

machine learning

Embarking on a DIY Journey with Machine Learning Algorithms.

### Does it Spark Joy? Using PCA for Dimensionality Reduction in R

PCA

Principal Component Analysis (PCA) is a powerful tool for dimensionality reduction. In this post, we provide an overview of PCA, explaining its purpose and how it works. We then walk through a hands-on application of PCA using R, demonstrating the step-by-step process of PCA and its application in predictive modeling.

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