<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:taxo="http://purl.org/rss/1.0/modules/taxonomy/" version="2.0">
  <channel>
    <title>topic [PM Square] Data science with Incorta: uncover the unknown in Incorta App Week</title>
    <link>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3450#M9</link>
    <description>&lt;P&gt;&lt;STRONG&gt;Presented by:&lt;/STRONG&gt;&lt;/P&gt;
&lt;P data-unlink="true"&gt;Craig Colangelo, Senior Solutions Architect at PMsquare &lt;/P&gt;
&lt;P&gt;Use this discussion to ask Craig any questions related to his session!&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Session Date:&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/STRONG&gt;Dec 9, 2022 @ 9:05AM&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Overview:&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Incorta has extended its Direct Data Mapping engine to enable data science projects within the Incorta environment, eliminating the need for a separate data science platform. Customers can quickly predict outcomes with precision to evolving scenarios in their business or industry using Incorta.&lt;BR /&gt;&lt;BR /&gt;Join this session to learn how Incorta Direct Data Mapping engine supports Python data science projects with Notebooks to uncover insights within your data.&lt;BR /&gt;&lt;BR /&gt;You will:&lt;BR /&gt;&lt;BR /&gt;- Explore sample data science projects and typical development cycles.&lt;BR /&gt;- See how Incorta enables data science with notebooks and Python libraries&lt;BR /&gt;- Experience a live walkthrough of a sample project&lt;/P&gt;</description>
    <pubDate>Fri, 02 Dec 2022 23:43:05 GMT</pubDate>
    <dc:creator>JoeM</dc:creator>
    <dc:date>2022-12-02T23:43:05Z</dc:date>
    <item>
      <title>[PM Square] Data science with Incorta: uncover the unknown</title>
      <link>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3450#M9</link>
      <description>&lt;P&gt;&lt;STRONG&gt;Presented by:&lt;/STRONG&gt;&lt;/P&gt;
&lt;P data-unlink="true"&gt;Craig Colangelo, Senior Solutions Architect at PMsquare &lt;/P&gt;
&lt;P&gt;Use this discussion to ask Craig any questions related to his session!&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Session Date:&lt;SPAN&gt; &lt;/SPAN&gt;&lt;/STRONG&gt;Dec 9, 2022 @ 9:05AM&lt;/P&gt;
&lt;P&gt;&lt;STRONG&gt;Overview:&lt;/STRONG&gt;&lt;/P&gt;
&lt;P&gt;Incorta has extended its Direct Data Mapping engine to enable data science projects within the Incorta environment, eliminating the need for a separate data science platform. Customers can quickly predict outcomes with precision to evolving scenarios in their business or industry using Incorta.&lt;BR /&gt;&lt;BR /&gt;Join this session to learn how Incorta Direct Data Mapping engine supports Python data science projects with Notebooks to uncover insights within your data.&lt;BR /&gt;&lt;BR /&gt;You will:&lt;BR /&gt;&lt;BR /&gt;- Explore sample data science projects and typical development cycles.&lt;BR /&gt;- See how Incorta enables data science with notebooks and Python libraries&lt;BR /&gt;- Experience a live walkthrough of a sample project&lt;/P&gt;</description>
      <pubDate>Fri, 02 Dec 2022 23:43:05 GMT</pubDate>
      <guid>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3450#M9</guid>
      <dc:creator>JoeM</dc:creator>
      <dc:date>2022-12-02T23:43:05Z</dc:date>
    </item>
    <item>
      <title>Re: [PM Square] Data science with Incorta: uncover the unknown</title>
      <link>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3477#M17</link>
      <description>&lt;P&gt;&lt;a href="https://community.incorta.com/t5/user/viewprofilepage/user-id/3"&gt;@JoeM&lt;/a&gt;&amp;nbsp; - can you update w/ a link to the recording?&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Mon, 12 Dec 2022 21:16:57 GMT</pubDate>
      <guid>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3477#M17</guid>
      <dc:creator>RADSr</dc:creator>
      <dc:date>2022-12-12T21:16:57Z</dc:date>
    </item>
    <item>
      <title>Re: [PM Square] Data science with Incorta: uncover the unknown</title>
      <link>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3481#M18</link>
      <description>&lt;P&gt;&lt;a href="https://community.incorta.com/t5/user/viewprofilepage/user-id/24"&gt;@RADSr&lt;/a&gt;&amp;nbsp;- I've reached out to get the recordings from the team!&lt;/P&gt;</description>
      <pubDate>Tue, 13 Dec 2022 03:29:14 GMT</pubDate>
      <guid>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3481#M18</guid>
      <dc:creator>JoeM</dc:creator>
      <dc:date>2022-12-13T03:29:14Z</dc:date>
    </item>
    <item>
      <title>Re: [PM Square] Data science with Incorta: uncover the unknown</title>
      <link>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3484#M19</link>
      <description>&lt;P&gt;I watched the PMsquare webinar when they presented this subject.&amp;nbsp;If you're like me, you get tired of seeing tools being used in perfect scenarios, and everything working perfectly. It was refreshing to see a tool like Incorta be used with a completely unique dataset such as home values and pricing 'predictions'. Craig and the rest of the PMsquare team really know their stuff. Keep up the awesome work!&amp;nbsp; Here is a link to the YT video:&amp;nbsp;&amp;nbsp;&lt;A href="https://youtu.be/FKodLhCaADY" target="_blank"&gt;https://youtu.be/FKodLhCaADY&lt;/A&gt;&lt;/P&gt;</description>
      <pubDate>Tue, 13 Dec 2022 17:12:51 GMT</pubDate>
      <guid>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3484#M19</guid>
      <dc:creator>pargol4</dc:creator>
      <dc:date>2022-12-13T17:12:51Z</dc:date>
    </item>
    <item>
      <title>Re: [PM Square] Data science with Incorta: uncover the unknown</title>
      <link>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3509#M20</link>
      <description>&lt;P&gt;Are there much simpler examples of projects using Python?&amp;nbsp; For example, the software running our manufacturing machinery produces samples of production times in a database table.&amp;nbsp; I would like graph these in violin plots using python and wondering how to go about doing this (I'm rather new to python)...probably showing them in a daily report (changes every day).&lt;/P&gt;</description>
      <pubDate>Wed, 21 Dec 2022 23:11:55 GMT</pubDate>
      <guid>https://community.incorta.com/t5/incorta-app-week/pm-square-data-science-with-incorta-uncover-the-unknown/m-p/3509#M20</guid>
      <dc:creator>olekern</dc:creator>
      <dc:date>2022-12-21T23:11:55Z</dc:date>
    </item>
  </channel>
</rss>

