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    <title>DEV Community: Piyush Pravin</title>
    <description>The latest articles on DEV Community by Piyush Pravin (@piyushp7pravin).</description>
    <link>https://dev.to/piyushp7pravin</link>
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      <title>Hacktoberfest 2020</title>
      <dc:creator>Piyush Pravin</dc:creator>
      <pubDate>Sun, 18 Oct 2020 06:44:50 +0000</pubDate>
      <link>https://dev.to/piyushp7pravin/hacktoberfest-2020-28e8</link>
      <guid>https://dev.to/piyushp7pravin/hacktoberfest-2020-28e8</guid>
      <description>&lt;h2&gt;
  
  
  What I Learned From Hacktoberfest
&lt;/h2&gt;

&lt;p&gt;This year I participated for the first time in Hacktoberfest and it was amazing experience. I completed the challenge by making at least 4 PR and the best part was that all my PRs were merged. &lt;/p&gt;

&lt;p&gt;It's a kick start to open source contribution and now looking forward to explore some more repos for contributions.&lt;/p&gt;

&lt;p&gt;Overall it's a great learning experience. &lt;/p&gt;

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      <category>hacktoberfest</category>
      <category>github</category>
      <category>opensource</category>
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    <item>
      <title>Project - Text Classification</title>
      <dc:creator>Piyush Pravin</dc:creator>
      <pubDate>Thu, 20 Aug 2020 14:22:32 +0000</pubDate>
      <link>https://dev.to/piyushp7pravin/project-text-classification-1bdk</link>
      <guid>https://dev.to/piyushp7pravin/project-text-classification-1bdk</guid>
      <description>&lt;p&gt;Project Link : &lt;a href="https://github.com/piyushP7pravin/Text-Classification"&gt;https://github.com/piyushP7pravin/Text-Classification&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;MultinomialNB implements the naive Bayes algorithm for multinomially distributed data, and is one of the two classic naive Bayes variants used in text classification.&lt;/p&gt;

&lt;p&gt;I have used Multinomial Naive Bayes algorithm to classify the given text document to different categories.&lt;br&gt;
I have used 20,000 documents from 20 newspaper categories, made dataset from the given documents. Built a Multinomial Naïve Bayes Classifier from Scratch that classifies any test document to one of the 20 categories. Made a comparison report between the results of our Naive Bayes implementation with Sklearn Multinomial Naïve Bayes Classifier.&lt;br&gt;
Overall accuracy seems to be almost same for both cases.&lt;/p&gt;

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      <category>machinelearning</category>
      <category>datascience</category>
      <category>python</category>
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    <item>
      <title>GitHub's profile level readme</title>
      <dc:creator>Piyush Pravin</dc:creator>
      <pubDate>Wed, 19 Aug 2020 11:04:50 +0000</pubDate>
      <link>https://dev.to/piyushp7pravin/github-s-profile-level-readme-3k60</link>
      <guid>https://dev.to/piyushp7pravin/github-s-profile-level-readme-3k60</guid>
      <description>&lt;p&gt;So, here it is - my GitHub's profile level readme.&lt;br&gt;
Link : &lt;a href="https://github.com/piyushP7pravin"&gt;https://github.com/piyushP7pravin&lt;/a&gt;&lt;br&gt;
People are trying to be as much creative and decorative as possible, I kept it short and simple.&lt;/p&gt;

&lt;p&gt;Feel free to clone and use. Fork for new updates.&lt;/p&gt;

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      <category>github</category>
      <category>git</category>
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