<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Scikit-Learn on Miquel's Portfolio</title><link>https://miquelt9.github.io/portfolio/tags/scikit-learn/</link><description>Recent content in Scikit-Learn on Miquel's Portfolio</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Tue, 21 Nov 2023 06:00:23 +0600</lastBuildDate><atom:link href="https://miquelt9.github.io/portfolio/tags/scikit-learn/index.xml" rel="self" type="application/rss+xml"/><item><title>Ecoforecast</title><link>https://miquelt9.github.io/portfolio/posts/competitions/ecoforecast/</link><pubDate>Tue, 21 Nov 2023 06:00:23 +0600</pubDate><guid>https://miquelt9.github.io/portfolio/posts/competitions/ecoforecast/</guid><description>&lt;h2 id="the-challenge"&gt;The challenge&lt;/h2&gt;
&lt;p&gt;With increasing digitalisation and the growing on data servers, the significance of sustainable computing is on the rise. That&amp;rsquo;s why the task is to predict which will be the European country that will have the highest surplus of green energy in the following hour. Knowing this information can be critical to make important decisions in order to reduce CO2 emissions.
This
&lt;a href="https://nuwe.io/dev/competitions/schneider-electric-european-2023/ecoforecast-revolutionizing-green-energy-surplus-prediction-in-europe" target="_blank" rel="noopener"&gt;challenge&lt;/a&gt; was the problem of a Nuwe competition.&lt;/p&gt;</description></item><item><title>JBarcelona 2023</title><link>https://miquelt9.github.io/portfolio/posts/competitions/jobbarcelona2023/</link><pubDate>Sun, 23 Apr 2023 06:00:23 +0600</pubDate><guid>https://miquelt9.github.io/portfolio/posts/competitions/jobbarcelona2023/</guid><description>&lt;h2 id="the-challenge"&gt;The challenge&lt;/h2&gt;
&lt;p&gt;This
&lt;a href="https://nuwe.io/dev/competitions/job-barcelona-23/jobarcelona-23-data-science" target="_blank" rel="noopener"&gt;challenge&lt;/a&gt; was the problem of a Nuwe competition. The goal of the challenge was to build a classification model which had to predict which costumers decide to end their contracts with the company we get the data from, so the percentage of people who stop being clients decreses by analyzing the reasons.&lt;/p&gt;
&lt;h2 id="the-approach"&gt;The approach&lt;/h2&gt;
&lt;p&gt;Since this was my first time building a model, I decided to start by looking at some guides and understand what had to exactly do the model. I manage to get something and predict some results, and it was really nice when I checked and turn out I had a f1-score of 0.9. Then I also tried some optimitzations which didn&amp;rsquo;t work, but that was enough to pass to the final.&lt;/p&gt;</description></item><item><title>HackUPC 2023</title><link>https://miquelt9.github.io/portfolio/posts/competitions/hackupc2023/</link><pubDate>Tue, 07 Feb 2023 06:00:23 +0600</pubDate><guid>https://miquelt9.github.io/portfolio/posts/competitions/hackupc2023/</guid><description>&lt;h2 id="our-project"&gt;Our project&lt;/h2&gt;
&lt;p&gt;
&lt;a href="https://hackupc.com/" target="_blank" rel="noopener"&gt;HackUPC&lt;/a&gt; is the main yearly hackathon organized in my university. In 2023 was my first time attending on site.&lt;/p&gt;
&lt;p&gt;Me,
&lt;a href="https://github.com/AlexRG03" target="_blank" rel="noopener"&gt;AlexRG03&lt;/a&gt;,
&lt;a href="https://github.com/Martaw-code" target="_blank" rel="noopener"&gt;Martaw-code&lt;/a&gt; and
&lt;a href="https://github.com/Koldp/" target="_blank" rel="noopener"&gt;Koldp&lt;/a&gt; took part at the competition. We were very indecisive in terms of which challenge to go for, but in the end we decided to work in the HP challenge, in which we had to build a prediction model to forecast the supply chain inventory units of HP.
Because we wanted to get even more work we were also thinking about how to solve other challenges and even coding a bot that battled in a survival game between all other hackers.&lt;/p&gt;</description></item></channel></rss>