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 15 · 7 min read · We've done the analogies. We've done the math. We've even made the GPU sweat. But here is the hard truth about Machine Learning: Just because your model runs, doesn't mean it’s learning. A model is li
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Feb 1 · 4 min read · Hello World! It feels nice to come back after a week, open Hashnode, and write about my experience. This past week was not quite as productive as Week 1 was, but it's fine—who cares? Progress is progress. This week, I dove into Linear Regression (LR)...
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Jan 26 · 25 min read · Introduction Week 16 with Dataraflow was a transformative experience in my data science journey. This wasn't just about running algorithms, it was about truly understanding the "Fail & Fix" philosophy that turns errors into powerful learning opportun...
Join discussionJan 5 · 4 min read · Ever stared at a spreadsheet and wondered, "What if this data could tell me what comes next?" That was the feeling that defined Week 14 at DataraFlow. This wasn’t just about analysing what had already happened. This was the week I crossed a subtle bu...
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Dec 24, 2025 · 10 min read · As a data science intern at DataraFlow, I've had the opportunity to dive deep into the fundamentals of data preprocessing and regression analysis through this intensive take-home assignment. My solution represents a complete walkthrough of essential ...
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Dec 14, 2025 · 5 min read · What if you could choose the perfect machine learning tool for your project — would you go with the robust, feature-rich scikit-learn or the lightweight, web-friendly ml package? Both scikit-learn (Python) and the ml package (JavaScript) are popular ...
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Sep 17, 2025 · 3 min read · When you start working with machine learning pipelines, one of the first things you’ll notice is that we often write code like this: from sklearn.preprocessing import StandardScaler scaler = StandardScaler() # Training set X_train_scaled = scaler...
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Jul 19, 2025 · 5 min read · Introduction Linear regression is often the first algorithm introduced to those entering the world of machine learning. But instead of just importing a model from scikit-learn, what if you built your own from scratch and deeply understood how it work...
Join discussionJul 11, 2025 · 7 min read · So Linear regression. It’s not flashy, it doesn’t generate code or drive cars. But it’s a really judgmental line. One that tries to predict the future based on a bunch of past data. At its core, linear regression is about finding the simplest possibl...
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