<?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 Blogs by Kush</title><link>https://blogsbykush.com/tags/eda/</link><description>Recent content in EDA on Blogs by Kush</description><image><title>Blogs by Kush</title><url>https://blogsbykush.com/assets/images/og-default.png</url><link>https://blogsbykush.com/assets/images/og-default.png</link></image><generator>Hugo</generator><language>en</language><lastBuildDate>Mon, 30 Mar 2020 00:00:00 +0000</lastBuildDate><atom:link href="https://blogsbykush.com/tags/eda/feed.xml" rel="self" type="application/rss+xml"/><item><title>COVID-19-Insights with Data Visualization</title><link>https://blogsbykush.com/covid19-insights-data-visualization/</link><pubDate>Mon, 30 Mar 2020 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/covid19-insights-data-visualization/</guid><description>Discover insights from the COVID-19 data in this informative post. The author analyzes the situations in China, South Korea, Italy, the USA, and India, using data visualization to highlight key trends in confirmed cases, active cases, recoveries, and deaths. Learn about the effectiveness of different countries&amp;#39; strategies in managing the pandemic and the crucial role of early action in mitigating its impact</description></item><item><title>Beginner's Guide to Exploratory Data Analysis and Feature Engineering</title><link>https://blogsbykush.com/guidefornewbie-eda-featureeng-modeling-evaluation/</link><pubDate>Wed, 29 Jan 2020 00:00:00 +0000</pubDate><guid>https://blogsbykush.com/guidefornewbie-eda-featureeng-modeling-evaluation/</guid><description>Learn the basics of exploratory data analysis (EDA) and feature engineering using the Titanic disaster dataset. Understand the importance of EDA in data modeling and predictions. Analyze features such as age, gender, passenger class, fare, and embarked port through code snippets and visualizations. Discover correlations between variables and learn how to create new features. Enhance your understanding of EDA and its impact on data analysis and modeling</description></item></channel></rss>