<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>EDA on Abhijith Nagarajan</title><link>https://abhijith-nagarajan.com/tags/eda/</link><description>Recent content in EDA on Abhijith Nagarajan</description><generator>Hugo</generator><language>en-us</language><lastBuildDate>Tue, 01 Jul 2025 00:00:00 +0000</lastBuildDate><atom:link href="https://abhijith-nagarajan.com/tags/eda/index.xml" rel="self" type="application/rss+xml"/><item><title>Crop Recommendation &amp; Soil Moisture Pipeline</title><link>https://abhijith-nagarajan.com/projects/crop-recommendation-soil-moisture/</link><pubDate>Thu, 15 Feb 2024 00:00:00 +0000</pubDate><guid>https://abhijith-nagarajan.com/projects/crop-recommendation-soil-moisture/</guid><description>An end-to-end agricultural decision-support project pairing a 22-class crop classifier (Naive Bayes + Random Forest on derived agronomic features) with a soil-moisture data pipeline that computes evapotranspiration from a Penman-Monteith equation, fed by WeatherBit + OpenWeather APIs and persisted to SQLite.</description></item><item><title>Loan Defaulter Credit Risk — Imbalanced Classification Study</title><link>https://abhijith-nagarajan.com/projects/loan-defaulter-imbalanced-classification/</link><pubDate>Mon, 22 Jan 2024 00:00:00 +0000</pubDate><guid>https://abhijith-nagarajan.com/projects/loan-defaulter-imbalanced-classification/</guid><description>A systematic study of imbalanced classification techniques on the Home Credit Default Risk dataset (91/9 class split). Final pipeline achieved 0.55 PR-AUC with Logistic Regression and HistGradientBoosting, combining class weighting and threshold tuning. Compared five approaches × three classifiers; Optuna for hyperparameter search; F2 and PR-AUC as the evaluation lens.</description></item><item><title>IPL 2022 Analysis with Plotly</title><link>https://abhijith-nagarajan.com/projects/ipl-2022-plotly-analysis/</link><pubDate>Wed, 15 Jun 2022 00:00:00 +0000</pubDate><guid>https://abhijith-nagarajan.com/projects/ipl-2022-plotly-analysis/</guid><description>A storytelling EDA of the 2022 Indian Premier League season — visualizing toss-decision impact, powerplay performance per team, and batsmen / bowler effectiveness across the three phases of a T20 innings. Built entirely in Plotly (subplots, box plots, scatter quadrants) and published as a Medium article.</description></item><item><title>Bayer</title><link>https://abhijith-nagarajan.com/experience/bayer-ft/</link><pubDate>Tue, 01 Jul 2025 00:00:00 +0000</pubDate><guid>https://abhijith-nagarajan.com/experience/bayer-ft/</guid><description>Built centralized analytics for maintenance, operations, and inventory planning to support equipment reliability and field decision-making.</description></item></channel></rss>