1d ago · 42 min read · This post builds it from the ground up. From the Bernoulli distribution to the Hessian proof to Newton's method to the exact moment the math collapses — no black boxes, no skipped steps. The Hook Not
Join discussion
Feb 18 · 5 min read · If you’ve ever built a machine learning project that worked beautifully on your laptop but humbled you in production… welcome to my life 😭 Today I’m sharing my journey building CreditWise AI — my credit card fraud detection project — and everything ...
Join discussionFeb 5 · 16 min read · Introduction: Why I decided to implement Regularization From Scratch After implementing Linear machine learning models. I learned about overfitting, bias-variance tradeoff, and regularization in theory. L1 and L2 penalties existed, and I could explai...
Join discussion
Feb 4 · 4 min read · Introduction While working on an Employee Turnover Prediction project, I ran into a confusion that almost every Machine Learning beginner faces: Is L1 the same as Lasso?If yes, why did my classification model break when I applied Lasso?And why does ...
Join discussion
Feb 3 · 5 min read · Logistic Regression: The Logic of "Yes or No" In Machine Learning, most people start with Linear Regression. It’s great for predicting numbers, like how much a house costs or how tall a tree will grow. But what if you don't need a number? What if you...
Join discussion
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...
Join discussion
Jan 31 · 5 min read · Decoding Data Science: A Step-by-Step Guide to Churn Prediction In today’s data-driven world, businesses aren't just reacting to what happens—they're predicting it. One of the most critical predictions a company can make is figuring out which custome...
Join discussionJan 30 · 6 min read · Introduction: The Day GitHub Said “That’s Too Much” So I recently wrapped up a Credit Card Fraud Detection project using Logistic Regression — and honestly? It felt amazing. The model worked ✅ The evaluation metrics made sense ✅ I understood the p...
Join discussionJan 28 · 5 min read · Logistics keeps the world moving, delivering goods from factories to doorsteps every day. But behind the smooth flow of trucks, vans, and delivery vehicles lies a critical need: safety. Accidents involving commercial fleets not only disrupt supply ch...
Join discussionJan 14 · 5 min read · Concept Overview What is Classification? Classification means assigning a label to data The output is a category, not a number Examples: Yes/No, Pass/Fail, Spam/Not Spam Why does Classification exist? Many real-world problems need decisions, no...
Join discussion
