<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:media="http://search.yahoo.com/mrss/" xmlns:ynews="http://news.yahoo.com/rss/">
    <channel>
        <title>Data Science, Computer Science - Collections</title>
        <link>https://www.vijaynicole.co.in</link>
        <description>Default RSS Feed</description>
        <language>en-us</language>
        <copyright>Vijay Nicole Imprints</copyright>
        <item>
            <title><![CDATA[Python for Data Science]]></title>
            <media:thumbnail url="https://storage.googleapis.com/nova-vijaynicole-unsecured-files/unsecured/content-1723209004752-84681888-0ab9-4944-88fd-53744a017df9/cover.png"></media:thumbnail>
            <link>https://www.vijaynicole.co.in/book/isbn/9788197402555</link>
            <description><![CDATA[Python  for Data Science is an indispensable textbook, spanning essential concepts and advanced techniques in the realm of data analysis and interpretation. Through its comprehensive coverage, the book serves as a roadmao for both beginners and seasoned practitioners, offering a blend of theoretical foundations and practical applications.                             salient Features:                                     Simple and user - friendly explanations, supported by numerous programming examples.                                  Covers various ways ways Python can be used to analyze datasets in real-world business contexts.                        Explores three important topics related to Machine Learning:Regression, Classification, and Clustering.]]></description>
            <pubDate><![CDATA[2018-06-14T00:00]]></pubDate>
        </item>
    </channel>
</rss>