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<!DOCTYPE HTML>
<html>
<head>
<meta charset="utf-8">
<meta http-equiv="X-UA-Compatible" content="IE=edge">
<title>Vinay Somawat - Machine Learning and Artificial Intelligence</title>
<meta name="viewport" content="width=device-width, initial-scale=1">
<meta name="description" content="Portfolio webpage of Vinay Somawat" />
<meta name="keywords" content="portfolio,website,personal website,github,projects,computer science and engineering" />
<meta name="author" content="Vinay Somawat" />
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<!--- Github ribbon ----------->
<a href="https://github.com/vinaysomawat/vinaysomawat.github.io" class="github-corner" aria-label="View source on GitHub">
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<style>.github-corner:hover .octo-arm{animation:octocat-wave 560ms ease-in-out}@keyframes octocat-wave{0%,100%{transform:rotate(0)}20%,60%{transform:rotate(-25deg)}40%,80%{transform:rotate(10deg)}}@media (max-width:500px){.github-corner:hover .octo-arm{animation:none}.github-corner .octo-arm{animation:octocat-wave 560ms ease-in-out}}</style>
<body>
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<a href="#" class="js-colorlib-nav-toggle colorlib-nav-toggle" data-toggle="collapse" data-target="#navbar" aria-expanded="false" aria-controls="navbar"><i></i></a>
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<div class="text-center">
<div class="author-img" style="background-image: url(images/IMG_-wl1xai.jpg);"></div>
<h1 id="colorlib-logo"><a href="https://vinaysomawat.github.io">Vinay Somawat</a></h1>
<p><strong>Machine Learning | Data Science</strong></p>
</div>
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<section class="colorlib-about" data-section="about">
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<div class="about-desc">
<h2>Machine Learning and Artificial Intelligence</h2>
<hr>
<h3 class="colourlib-heading">OpenCV</h3>
<h4><strong>WebCam Motion Detector using pandas libraries</strong></h4>
<p>This python program will allow you to detect motion and also store the time interval of the motion.</p>
<p><strong>Used Technologies:</strong> Python 2.7, OpenCV, Pandas</p>
<br>
<br><br>
<h4><strong>Face Detection using Python and OpenCV with webcam</strong></h4>
<p>OpenCV is a Library which is used to carry out image processing using programming languages like python. This project utilizes OpenCV Library to make a Real-Time Face Detection using your webcam as a primary camera.</p>
<p><strong>Used Technologies:</strong> Python 2.7, OpenCV, Numpy</p>
</div>
</div>
</div>
</div>
</div>
</div>
</section>
<section class="colorlib-about" data-section="about">
<div class="colorlib-narrow-content">
<div class="row">
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<div class="row row-bottom-padded-sm animate-box" data-animate-effect="fadeInLeft">
<div class="col-md-12">
<div class="about-desc">
<h3 class="colourlib-heading">MOOCS</h3>
<h4><a href="https://www.coursera.org/learn/machine-learning"><strong>Machine Learning</strong></a></h4>
<p>This course provides a broad introduction to machine learning, datamining, and statistical pattern recognition. Topics include: (i) Supervised learning (parametric/non-parametric algorithms, support vector machines, kernels, neural networks). (ii) Unsupervised learning (clustering, dimensionality reduction, recommender systems, deep learning). (iii) Best practices in machine learning (bias/variance theory; innovation process in machine learning and AI). The course will also draw from numerous case studies and applications, so that you'll also learn how to apply learning algorithms to building smart robots (perception, control), text understanding (web search, anti-spam), computer vision, medical informatics, audio, database mining, and other areas.</p>
<img src="images/Machine%20learning.png" width = "600" height = "500"><br><br>
<h4><a href="https://www.coursera.org/learn/python-data-analysis"><strong>Introduction to Data Science in Python</strong></a></h4>
<p>This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python.</p>
<img src="images/introduction%20to%20datascience.png" width = "600" height = "500">
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</section>
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