<?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>Data Science on Anurag Chaudhary</title><link>https://anuragsinghchaudhary.github.io/tags/data-science/</link><description>Recent content in Data Science on Anurag Chaudhary</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 06 Mar 2018 00:00:00 +0000</lastBuildDate><atom:link href="https://anuragsinghchaudhary.github.io/tags/data-science/index.xml" rel="self" type="application/rss+xml"/><item><title>Seven Steps of a Machine Learning Project</title><link>https://anuragsinghchaudhary.github.io/blog/seven-steps-of-machine-learning/</link><pubDate>Tue, 06 Mar 2018 00:00:00 +0000</pubDate><guid>https://anuragsinghchaudhary.github.io/blog/seven-steps-of-machine-learning/</guid><description>A refreshed legacy guide to the main stages of a machine learning workflow, from data collection to prediction.</description></item><item><title>Python Libraries for Data Science</title><link>https://anuragsinghchaudhary.github.io/blog/python-libraries-for-data-science/</link><pubDate>Tue, 14 Mar 2017 00:00:00 +0000</pubDate><guid>https://anuragsinghchaudhary.github.io/blog/python-libraries-for-data-science/</guid><description>A refreshed legacy guide to useful Python libraries for data analysis, machine learning, visualization, and data engineering workflows.</description></item><item><title>From IPython Notebook to Jupyter</title><link>https://anuragsinghchaudhary.github.io/blog/from-ipython-notebook-to-jupyter/</link><pubDate>Sat, 16 Jul 2016 00:00:00 +0000</pubDate><guid>https://anuragsinghchaudhary.github.io/blog/from-ipython-notebook-to-jupyter/</guid><description>A refreshed legacy guide to what notebooks are, how the IPython Notebook evolved into Jupyter, and why notebooks still matter.</description></item><item><title>Data Science Resources I Still Recommend</title><link>https://anuragsinghchaudhary.github.io/blog/data-science-resources/</link><pubDate>Mon, 04 Jul 2016 00:00:00 +0000</pubDate><guid>https://anuragsinghchaudhary.github.io/blog/data-science-resources/</guid><description>A refreshed legacy resource guide for learning data science through better tools, documentation, and project habits.</description></item></channel></rss>