FMFaith Mwendeinbeginnerslog.hashnode.dev·1d ago · 4 min readXGBoost Caught More Fraud - But There's a Catch (Day 5)Day 4 was a baseline logistic regression. It got 0.9571 AUC but missed 40% of frauds. Day 5 was about fixing that. I switched to XGBoost and used a trick called scale_pos_weight to handle the class im00
DSDevi Sri Ramasamyindevisriblogs.hashnode.dev·Sep 12 · 5 min readChargeback Assistant: An AI-Powered Chargeback Risk SystemChargebacks are a common problem for online businesses. When a customer disputes a payment, the merchant needs to decide whether to fight the dispute, accept the loss, or collect more evidence. To sol10
RRishikantinrishiii2.hashnode.dev·Jul 14 · 5 min readSpace to Earth Matrix: Revolutionizing Renewable Energy Placement with AIThe world is rapidly accelerating towards a sustainable future, and India has set an incredibly ambitious target of achieving five hundred gigawatts of non-fossil fuel energy capacity by the end of th00
AAKSHAYinakshayetukurihashnodedev.hashnode.dev·Jul 4 · 6 min readPredicting Customer Churn Before It Happens: An End-to-End ML Project with SHAP ExplainabilityHow I built, explained, and deployed a churn prediction model — twice. The Problem Nobody Likes to Talk About Every subscription business has the same quiet fear: customers leaving without warning. In10
Ddanieljasmeindanieljasme.hashnode.dev·Jul 3 · 10 min readBuilding an AI-Powered TikTok Wellness Analytics Dashboard: My Final Year ProjectHow I turned 24 months of TikTok Shop data into a persona-aware decision-support tool with XGBoost, Flask, and React. TL;DR Built an end-to-end analytics dashboard analysing 11,244 wellness product00
RRishikantinrishiii2.hashnode.dev·Jun 28 · 7 min readConquering Tabular Data: Decision Trees, Random Forests, and the Math of XGBoostSo far in this series, we have focused entirely on algorithms that draw smooth, continuous curves through data—Linear Regression, Logistic Regression, and Deep Neural Networks. These models are the un00
Ddanieljasmeindanieljasme.hashnode.dev·May 27 · 9 min readBuilding a Near-Perfect Claims Classifier: Random Forest vs XGBoost on TikTok Data (Google Advanced DA Course 5)This is the fourth and final post in my Google Advanced Data Analytics Certificate series on the TikTok claims classification project. Part 1: data inspection. Part 2: EDA and visualization. Part 3: h00
ÖOÖmer Oruç ÇELİKinoorucelik.hashnode.dev·May 11 · 6 min readI Built Netflix's Data Pipeline (Without Netflix's Budget)One DAG to rule them all. The source is a live API, the transformations are tested like software with dbt, and a machine learning model predicts the user churn on the data warehouse, Databricks The P00
AAArjun Adhikariinblogs.thearjun.com·May 9 · 7 min readWhy Your ML Model Is Either Stubborn or Paranoid and How to Fix ItYou've shipped a model. It looks great on your training data. You put it in production and it falls apart. Or maybe the opposite, it works sometimes, wildly fails other times, with no pattern you can 10
PGPrajakta Gunjalinprajakta-aiml.hashnode.dev·Apr 12 · 14 min readHow I Built an ML Model to Classify Pancreatic Cancer Subtypes from 60,000 GenesWhere and how did it all start Imagine being handed a spreadsheet with 60,000 columns and being told — somewhere in here is the answer to classifying a cancer that kills 9 out of 10 patients within fi00