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    <title>DEV Community: Amogh Singhal</title>
    <description>The latest articles on DEV Community by Amogh Singhal (@devamoghs).</description>
    <link>https://dev.to/devamoghs</link>
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      <title>DEV Community: Amogh Singhal</title>
      <link>https://dev.to/devamoghs</link>
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    <language>en</language>
    <item>
      <title>Critique My Resume!</title>
      <dc:creator>Amogh Singhal</dc:creator>
      <pubDate>Tue, 16 Apr 2019 15:07:52 +0000</pubDate>
      <link>https://dev.to/devamoghs/critique-my-resume-2o9k</link>
      <guid>https://dev.to/devamoghs/critique-my-resume-2o9k</guid>
      <description>&lt;p&gt;I am a fresher software developer, trying to get my feet wet in Machine Learning. People say that screening rounds are the most difficult and your resume speaks a lot about your personality and professional traits. Just wanted to check whether it is at par with the market standards or not?&lt;/p&gt;

&lt;p&gt;Page 1&lt;br&gt;
&lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--UYnERc9E--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://thepracticaldev.s3.amazonaws.com/i/6histgkfkt5p12txnacc.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--UYnERc9E--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://thepracticaldev.s3.amazonaws.com/i/6histgkfkt5p12txnacc.jpg"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Page 2&lt;br&gt;
&lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--qfntfSqV--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://thepracticaldev.s3.amazonaws.com/i/salz6s2f6xcg8zsfswmu.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--qfntfSqV--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://thepracticaldev.s3.amazonaws.com/i/salz6s2f6xcg8zsfswmu.jpg"&gt;&lt;/a&gt;&lt;/p&gt;

</description>
      <category>career</category>
      <category>beginners</category>
      <category>discuss</category>
      <category>help</category>
    </item>
    <item>
      <title>Artistic Style Transfer in Keras</title>
      <dc:creator>Amogh Singhal</dc:creator>
      <pubDate>Tue, 02 Apr 2019 04:09:38 +0000</pubDate>
      <link>https://dev.to/devamoghs/artistic-style-transfer-in-keras-4djh</link>
      <guid>https://dev.to/devamoghs/artistic-style-transfer-in-keras-4djh</guid>
      <description>&lt;h1&gt;
  
  
  Keras-Style-Transfer (KeSTra)
&lt;/h1&gt;

&lt;p&gt;An implementation of "A Neural Algorithm of Artistic Style" (&lt;a href="http://arxiv.org/abs/1508.06576"&gt;http://arxiv.org/abs/1508.06576&lt;/a&gt;) in Keras&lt;/p&gt;

&lt;p&gt;The code present in this repository is presented in this &lt;a href="https://medium.com/@singhal.amogh1995/utilising-cnns-to-transform-your-model-into-a-budding-artist-1330dc392e25"&gt;blog&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The code is written in Keras 2.2.2&lt;/p&gt;

&lt;h1&gt;
  
  
  Preview
&lt;/h1&gt;

&lt;p&gt;This is a 5-sec gif of &lt;strong&gt;Chicago city&lt;/strong&gt; painted in the style of &lt;strong&gt;Rain Princess&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;
  &lt;a href="https://i.giphy.com/media/i4ElhKepMTcIZiqcma/giphy.gif" class="article-body-image-wrapper"&gt;&lt;img src="https://i.giphy.com/media/i4ElhKepMTcIZiqcma/giphy.gif" width="480" height="270"&gt;&lt;/a&gt;
&lt;/p&gt;

&lt;h3&gt;
  
  
  Content Image and Style Image
&lt;/h3&gt;

&lt;p&gt;
  &lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--mRgJQXtn--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://reiinakano.github.io/arbitrary-image-stylization-tfjs/images/chicago.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--mRgJQXtn--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://reiinakano.github.io/arbitrary-image-stylization-tfjs/images/chicago.jpg" width="500" height="270"&gt;&lt;/a&gt;
  &lt;a href="https://res.cloudinary.com/practicaldev/image/fetch/s--5d8ySTKQ--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://afremov.com/images/product/RAIN-PRINCESS.jpg" class="article-body-image-wrapper"&gt;&lt;img src="https://res.cloudinary.com/practicaldev/image/fetch/s--5d8ySTKQ--/c_limit%2Cf_auto%2Cfl_progressive%2Cq_auto%2Cw_880/https://afremov.com/images/product/RAIN-PRINCESS.jpg" width="320" height="270"&gt;&lt;/a&gt;
&lt;/p&gt;

&lt;p&gt;============================================&lt;/p&gt;

</description>
      <category>python</category>
      <category>machinelearning</category>
      <category>showdev</category>
      <category>opensource</category>
    </item>
    <item>
      <title>Machine Learning With Python</title>
      <dc:creator>Amogh Singhal</dc:creator>
      <pubDate>Tue, 02 Apr 2019 04:02:05 +0000</pubDate>
      <link>https://dev.to/devamoghs/machine-learning-with-python-4dj6</link>
      <guid>https://dev.to/devamoghs/machine-learning-with-python-4dj6</guid>
      <description>&lt;h1&gt;
  
  
  Machine-Learning-with-Python &lt;a href="http://github.com/ddavison/github-badges" rel="noopener noreferrer"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/http%3A%2F%2Fgithubbadges.com%2Fstar.svg%3Fuser%3DdevAmoghS%26repo%3DMachine-Learning-with-Python" alt="star this repo"&gt;&lt;/a&gt; &lt;a href="http://github.com/ddavison/github-badges/fork" rel="noopener noreferrer"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/http%3A%2F%2Fgithubbadges.com%2Ffork.svg%3Fuser%3DdevAmoghS%26repo%3DMachine-Learning-with-Python" alt="fork this repo"&gt;&lt;/a&gt;
&lt;/h1&gt;

&lt;p&gt;&lt;a href="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fmedia.istockphoto.com%2Fvectors%2Fmachine-learning-3-step-infographic-artificial-intelligence-machine-vector-id962219860%3Fk%3D6%26m%3D962219860%26s%3D612x612%26w%3D0%26h%3DyricYyUqZbILMHp3IvtenS3xbRDhu1w1u5kk2az5tbo%3D" class="article-body-image-wrapper"&gt;&lt;img src="https://media.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fmedia.istockphoto.com%2Fvectors%2Fmachine-learning-3-step-infographic-artificial-intelligence-machine-vector-id962219860%3Fk%3D6%26m%3D962219860%26s%3D612x612%26w%3D0%26h%3DyricYyUqZbILMHp3IvtenS3xbRDhu1w1u5kk2az5tbo%3D" alt="alt text"&gt;&lt;/a&gt;&lt;/p&gt;

&lt;h2&gt;
  
  
  Small scale machine learning projects to understand the core concepts (order: oldest to newest)
&lt;/h2&gt;

&lt;ul&gt;
&lt;li&gt;Topic Modelling using &lt;strong&gt;Latent Dirichlet Allocation&lt;/strong&gt; with newsgroups20 dataset, implemented with Python and Scikit-Learn&lt;/li&gt;
&lt;li&gt;Implemented a simple &lt;strong&gt;neural network&lt;/strong&gt; built with Keras on MNIST dataset&lt;/li&gt;
&lt;li&gt;Stock Price Forecasting on Google using &lt;strong&gt;Linear Regression&lt;/strong&gt;
&lt;/li&gt;
&lt;li&gt;Implemented a simple a &lt;strong&gt;social network&lt;/strong&gt; to learn basics of Python&lt;/li&gt;
&lt;li&gt;Implemented &lt;strong&gt;Naives Bayes Classifier&lt;/strong&gt; to filter spam messages on SpamAssasin Public Corpus&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Churn Prediction Model&lt;/strong&gt; for banking dataset using Keras and Scikit-Learn&lt;/li&gt;
&lt;li&gt;Implemented &lt;strong&gt;Random Forest&lt;/strong&gt; from scratch and built a classifier on Sonar dataset from UCI repository&lt;/li&gt;
&lt;li&gt;Simple Linear Regression in Python on sample dataset&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Multiple Regression&lt;/strong&gt; in Python on sample dataset&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;PCA and scaling&lt;/strong&gt; sample stock data in Python [working_with_data]&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Decision Trees&lt;/strong&gt; in Python on sample dataset&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;Logistic Regression&lt;/strong&gt; in Python on sample dataset&lt;/li&gt;
&lt;li&gt;Built a neural network in Python to defeat a captcha system&lt;/li&gt;
&lt;li&gt;Helper methods include commom operations used in &lt;strong&gt;Statistics, Probability, Linear Algebra and Data Analysis&lt;/strong&gt;
&lt;/li&gt;
&lt;li&gt;
&lt;strong&gt;K-means clustering&lt;/strong&gt; with example data; &lt;strong&gt;clustering colors&lt;/strong&gt; with k-means; &lt;strong&gt;Bottom-up Hierarchical Clustering&lt;/strong&gt;
&lt;/li&gt;
&lt;li&gt;Generating Word Clouds&lt;/li&gt;
&lt;li&gt;Sentence generation using n-grams&lt;/li&gt;
&lt;li&gt;Sentence generation using &lt;strong&gt;Grammars and Automata Theory; Gibbs Sampling&lt;/strong&gt; &lt;/li&gt;
&lt;li&gt;Topic Modelling using Latent Dirichlet Analysis (LDA)&lt;/li&gt;
&lt;li&gt;Wrapper for using Scikit-Learn's &lt;strong&gt;GridSearchCV&lt;/strong&gt; for a &lt;strong&gt;Keras Neural Network&lt;/strong&gt;
&lt;/li&gt;
&lt;/ul&gt;

</description>
      <category>python</category>
      <category>opensource</category>
      <category>showdev</category>
      <category>machinelearning</category>
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