@Papizee
Papizee
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Feb 23 · 13 min read · 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
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Feb 17 · 15 min read · Last week, I got my first real taste of classification algorithms. I worked through K-Nearest Neighbours (KNN), Support Vector Machines (SVM), and Naive Bayes — three very different approaches to the same core problem: teaching a computer to sort thi...
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Feb 2 · 6 min read · As I continue my data science and machine learning learning journey, I’ve come to realize something important: building models is the easy part, understanding data and translating predictions into decisions is the real skill. Over the past few projec...
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Jan 14 · 4 min read · Week 15 was a major turning point in my machine learning journey. I moved beyond theory and applied multiple regression techniques to real datasets, learning not just how models work, but when and why to use them. In this article, I document what I l...
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Dec 26, 2025 · 5 min read · This week was a consolidation week that brought together some of the most important foundations in data science: data preprocessing, linear regression, and model optimization. Rather than learning these concepts in isolation, the week focused on appl...
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