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<!DOCTYPE html>
<html>
<head>
<meta charset='utf-8'>
<meta http-equiv="X-UA-Compatible" content="chrome=1">
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<title>Datascience learning by Ayebilla</title>
</head>
<body>
<div id="container">
<div class="inner">
<header>
<h1>Datascience learning</h1>
<h2></h2>
</header>
<section id="downloads" class="clearfix">
<a href="https://github.com/Ayebilla/Data-love/zipball/master" id="download-zip" class="button"><span>Download .zip</span></a>
<a href="https://github.com/Ayebilla/Data-love/tarball/master" id="download-tar-gz" class="button"><span>Download .tar.gz</span></a>
<a href="https://github.com/Ayebilla/Data-love" id="view-on-github" class="button"><span>View on GitHub</span></a>
</section>
<hr>
<section id="main_content">
<h3>
<a id="welcome-to-ayebilla-avoka-data-science-learning-page" class="anchor" href="#welcome-to-ayebilla-avoka-data-science-learning-page" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Welcome to Ayebilla Avoka Data Science learning page.</h3>
<p>This is a page for my weekly technical blogging, mostly on Data Science and Technology. I find that, writing is the best way to learn and communicate our ideas and skill. So, I have chosen to do it anyways, whether good or bad with one goal in mind: My ability to communicate technical information will not remain the same a year from now with constant practice! If you find errors or think there is something I can do to improve my skills and grow faster, you are most welcome. If you find a reason to laugh at my naivety, please do so honorably but remember, next year you will come back here to learn new skills from here. Enjoy the rest!</p>
<h3>
<a id="who-am-i" class="anchor" href="#who-am-i" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Who am I?</h3>
<p>I am a fresh graduate from a renowned university in Africa with a degree in Computer Engineering. I have decided to do a 'brute force learning' this year so that I can get as much skills and experience as I need to succeed at work and grad school. I love technology and have never been satisfied of discovering new things and unlearning old things. I hope to get a job after a few months of practice and thereafter begin my freelance journey so that I can have some time to build my company.</p>
<h3>
<a id="appreciation" class="anchor" href="#appreciation" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Appreciation</h3>
<p>I can't say 'thank you' enough to all my professors and the institutions I have had my internships experience from. I want to thank <a href="https://www.10academy.org/">10 Academy</a> for the good intro to Data Science. I am now ready to explore on my own, the data science space which I have been eyeing for years without knowing where to start. Thank you to all my friends and family who are supporting me in my learning journey. One day, I will be an expert and you all will be proud that you did invest in me.</p>
<h3>
<a id="support-or-contact" class="anchor" href="#support-or-contact" aria-hidden="true"><span aria-hidden="true" class="octicon octicon-link"></span></a>Support or Contact</h3>
<p>Having trouble getting what you want? contact me for support I'll help you sort it out.</p>
</section>
<footer>
Datascience learning is maintained by <a href="https://github.com/Ayebilla">Ayebilla</a><br>
This page was generated by <a href="https://pages.github.com">GitHub Pages</a>. Tactile theme by <a href="https://twitter.com/jasonlong">Jason Long</a>.
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