<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:dc="http://purl.org/dc/elements/1.1/" version="2.0">
  <channel>
    <title>DSpace Collection:</title>
    <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1737</link>
    <description />
    <pubDate>Wed, 15 Apr 2026 07:23:36 GMT</pubDate>
    <dc:date>2026-04-15T07:23:36Z</dc:date>
    <item>
      <title>DEEPER INTO MACHINE LEARNING</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1779</link>
      <description>Title: DEEPER INTO MACHINE LEARNING</description>
      <pubDate>Sun, 01 Jan 1950 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1779</guid>
      <dc:date>1950-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>INTRODUCTION TO MACHINE LEARNING</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1778</link>
      <description>Title: INTRODUCTION TO MACHINE LEARNING</description>
      <pubDate>Wed, 01 Jan 1947 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1778</guid>
      <dc:date>1947-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>Exploring data</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1777</link>
      <description>Title: Exploring data</description>
      <pubDate>Wed, 01 Jan 1947 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1777</guid>
      <dc:date>1947-01-01T00:00:00Z</dc:date>
    </item>
    <item>
      <title>MODULE 02: NUMPY AND PANDAS</title>
      <link>http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1758</link>
      <description>Title: MODULE 02: NUMPY AND PANDAS
Authors: Analytics and Business Community
Abstract: Give yourself a pat on the back for crossing the first milestone in this interesting journey of analytics and data science. Now that you have your basics clear, it’s time that we delve deeper into the nuances of another crucial part in data science: Numpy &amp; Pandas, your two evergreen friends in this journey. Both these libraries are of extreme importance from your placement as well as research point of view. In fact, logic developed while studying these two libraries is used in various other languages like SQL as well.</description>
      <pubDate>Tue, 01 Jan 2019 00:00:00 GMT</pubDate>
      <guid isPermaLink="false">http://dspace.bits-pilani.ac.in:8080/jspui/handle/123456789/1758</guid>
      <dc:date>2019-01-01T00:00:00Z</dc:date>
    </item>
  </channel>
</rss>

