Apr 23 · 14 min read · From a 200-Row Dataset to a Deployed ML-Powered Platform — A Complete Developer Journey Introduction Have you ever reported a pothole to your city and never heard back? Or seen overflowing garbage bin
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Mar 20 · 16 min read · 1. INTRODUCTION Data science is not just about building models. It is about understanding patterns hidden beneath layers of raw, unstructured, and high-dimensional data. In my Week 19 internship at Da
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Feb 27 · 16 min read · Week 17 of my data science internship at DataraFlow was dedicated entirely to classification: three algorithms, six datasets, and a repeated outcome that forced me to think harder than any misclassifi
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Feb 10 · 6 min read · 1. Introduction: In the contemporary financial landscape, the decision-making process for credit approval has shifted from subjective human assessment to high-fidelity algorithmic intelligence. Imagine a scenario where a borrower's financial future i...
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Dec 19, 2025 · 4 min read · Today, I started a fun beginner-level project on SMS Spam Classification. The objective of this project was to build an end-to-end text classification pipeline, starting from raw data exploration to model deployment. Dataset Preparation and Cleaning ...
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Oct 25, 2025 · 4 min read · Machine Learning algorithms come in all forms where some rely on distances, some on trees, and some on probabilities. Naive Bayes Classifier belongs to the last group as it predicts categories based on probability and prior knowledge. Let’s understan...
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Oct 14, 2025 · 2 min read · 📖 Naive Bayes is a probabilistic machine learning algorithm based on Bayes’ Theorem. It predicts outcomes by calculating the probability of different classes, assuming all features are independent. Despite this “naive” assumption, it performs surpri...
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