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<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Nandan Pandey</title>
<link rel = 'icon' href = "img/fav.png" type="image/png">
<link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/normalize/7.0.0/normalize.min.css">
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</head>
<body>
<header>
<div class="logo">
<img src="img/devjane.png" alt="">
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<li class="nav__item"><a href="#home" class="nav__link">Home</a></li>
<li class="nav__item"><a href="#services" class="nav__link">My Interests</a></li>
<li class="nav__item"><a href="#about" class="nav__link">About me</a></li>
<li class="nav__item"><a href="#work" class="nav__link">My Scores</a></li>
</ul>
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</header>
<section class="intro">
<h1 class="section__title section__title--intro">
Project : <strong>Real or Not</strong>
</h1>
<p class="section__subtitle section__subtitle--intro">Fake Challenge</p>
<img src="img/portfolio-01.jpg" alt="" class="intro__img">
</section>
<div class="portfolio-item-individual">
<p>Two Datasets : train.csv , test.csv <br> Link : <a href = "#">Link to Dataset</a> <a href ="#" >Link to Kaggle Notebook</a></p>
<img src="img/portfolio-details.jpg" alt="">
<p>Category :<i> Natural Language Procesing </i><br>Steps : <br>a) Data Cleaning using regular expressions<br>
b) Add Stop Words if Required and filter them out from text.<br>
c) Some steps you can do for better understanding of data such as visualize class balance, explore each columns.<br>
d) Create new features by combining two or more given features and normalize each feautre values between some lower range like [0...5] <br>
e) Also take care of null or missing values.<br>
f) Create and Visualize wordcloud for every category of target class.<br>
g) Create vocabulary via Count Vectorizer and fit_transform the training data.<br>
h) Create vocabulary via TfidfVectorizer and fit_transform the training data.<strong>(Recommended)</strong><br>
i) Create different models on different vectorizer . Also use cross validation if you want and check.<br>
j) Do brute force search to check whether which model gives you better result.
</p>
<br>
<p>If you have any queries please contact me on my any given account.</p>
</div>
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