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index.html
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<!DOCTYPE HTML>
<!--
Massively by HTML5 UP
html5up.net | @ajlkn
Free for personal and commercial use under the CCA 3.0 license (html5up.net/license)
-->
<html>
<head>
<title>Weather Prediction</title>
<meta charset="utf-8" />
<meta name="viewport" content="width=device-width, initial-scale=1, user-scalable=no" />
<link rel="stylesheet" href="assets/css/main.css" />
<noscript>
<link rel="stylesheet" href="assets/css/noscript.css" /></noscript>
</head>
<body class="is-preload">
<!-- Wrapper -->
<div id="wrapper" class="fade-in">
<!-- Intro -->
<div id="intro">
<h1>Weather Prediction</h1>
<p>This Project is to use Weather Data in a LSTM Recurrent Network for Prediction. </p>
<ul class="actions">
<li><a href="#header" class="button icon solid solo fa-arrow-down scrolly">Continue</a></li>
</ul>
</div>
<!-- Header -->
<header id="header">
<a href="index.html" class="logo">Weather Prediction</a>
</header>
<!-- Nav -->
<nav id="nav">
<ul class="links">
<li><a href="index.html">Home</a></li>
<li><a href="research.html">Research</a></li>
<li><a href="visuals.html">Visuals</a></li>
<li><a href="ml.html">Machine Learning</a></li>
<li><a href="reference.html">Reference</a></li>
</ul>
<ul class="icons">
<li><a href="http://www.instagram.com/robotgyal" class="icon brands fa-instagram"><span
class="label">Instagram</span></a></li>
<li><a href="https://github.com/RobotGyal/Project-Impact-2020" class="icon brands fa-github"><span
class="label">GitHub</span></a></li>
<li><a href="http://www.linkedin.com/in/aleiaknight" class="icon brands fa-linkedin"><span
class="label">GitHub</span></a></li>
</ul>
</nav>
<!-- Main -->
<div id="main">
<!-- Post -->
<section class="post">
<header class="major">
<span class="date">March 2021 - Present</span>
<h1>A story</h1>
<hr>
<p>Motivation</p>
</header>
<p>Weather is a phenomenon that many have contemplated over since the beginning of humanity. What it is and how it is. But there are always those curious minds that want to go beyond the questions of the now and look to answer questions of the future. </p>
<p> As a Data Scientist, I realize that it is possible to take what have been learned and recorded over time about the weather, to find trends and predict it.</p>
<hr>
<header class="major">
<p>Journey</p>
</header>
<p>I have considered this project for a while, but the more I learn about Prediction, the more challenging and out of scope the project. </p>
<p> This is when I discovered LSTM. (more details in the <a href='research.html'>research</a> tab) It is a Neural Netowrk that is used for preditcing things that happen over time. Once I learned how it worked, it seemes like the perfect time to attempt this project. </p>
<p><br /><br />
Tasks
<ul>
<li>Find Weather Data to study</li>
<li>Clean (Pre-Process) Data</li>
<li>Build Neural Network</li>
</ul>
Questions<ul>
<li>Can i predict the temperature for the next week?</li>
<li>Can I achieve 80%% accuracy?</li>
</ul>
<hr>
<header class="major">
<p>Obstacles and Solutions</p>
</header>
<ul>
<li>Finding accurate data in a csv format</li>
<li>Model Training time</li>
</ul>
</p>
</section>
</div>
<!-- Copyright -->
<div id="copyright">
<ul>
<li>© Untitled</li>
<li>Design: <a href="https://html5up.net">HTML5 UP</a></li>
</ul>
</div>
</div>
<!-- Scripts -->
<script src="assets/js/jquery.min.js"></script>
<script src="assets/js/jquery.scrollex.min.js"></script>
<script src="assets/js/jquery.scrolly.min.js"></script>
<script src="assets/js/browser.min.js"></script>
<script src="assets/js/breakpoints.min.js"></script>
<script src="assets/js/util.js"></script>
<script src="assets/js/main.js"></script>
</body>
</html>