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<html>
<head>
<title>
Skill</title>
<style>
#id{
height: 7.5%;
width: 100%;
margin-top:10px;
background-color: rgba(0, 0, 0 ,0.7);
box-sizing: border-box;
border-style: solid;
border-color: blue;
color: white;
font-size: 32px;
}
body{
background: linear-gradient(to right,purple,brown);
}
ol li,a{
font-size: 25px;
color: white;
font-style: bold;
}
ul li{color: #FFC300;
font-size: 20px;
font-style: italic;
}
</style>
</head>
<body>
<div id="id"><center>TECHNICAL SKILLS</center></div>
<ol> <li> LANGUAGES:-<ul style="list-style-type: none;"><li> JAVA</li><li> C++</li><li> C </li><li>PYTHON</li></ul>
<li> WEB DEVELOPMENT:-<ul style="list-style-type: none;"><li>HTML</li><li> CSS</li><li> JAVASCRIPT</li><li> JQUERY</li></ul>
<li> MACHINE LEARNING:-<ul style="list-style-type: none;"><li>NUMPY</li><li> MATPLOTLIB</li><li> SKLEARN</li><li> SEABORN</li><li> PANDAS</li><li> REQUEST</li> <li>BEAUTIFULSOAP</li><li> NLP</li></ul>
<li> DATABASE:-<ul style="list-style-type: none;"><li> SQL</li><li> MongoDB</li></ul>
</ol>
<div id="id"><center>PROJECTS</center></div>
<ul><li>SENTIMENT CLASSIFICATION BASED ON PUBLIC REVIEWS OF DIFFERENT STATES TOWARDS THE POLICE USING MACHINE LEARNING: The project classified the sentiments with the help of NLP. It classifies text into positive and negative tweets where processes like stemming and tokenisation are used to remove the unwanted characters and patterns that are neither positive nor negative in the document. <br>
<a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3592286 "> click here to view the paper</a></li><br>
<li>ECOMMERCE WEBSITE: created ECOMMERCE website with all the functionalities like login page, registration page, orderpage, payment etc.<br>
<a href="https://romy421kumari.github.io/ecommerce.github.io/">Click to view</a></li>
</li><br>
<li> ANIMATION: diffrent 3-D animations using HTML,CSS and Javascript.<br>
<a href=" https://romy421kumari.github.io/Animation/ ">Click to view</a></li></ul>
<a href="index.html"> Back</a>
</body>
</html>