<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="4.1.1">Jekyll</generator><link href="https://ianldias.github.io/Portfolio/feed.xml" rel="self" type="application/atom+xml" /><link href="https://ianldias.github.io/Portfolio/" rel="alternate" type="text/html" /><updated>2021-06-15T23:32:03-05:00</updated><id>https://ianldias.github.io/Portfolio/feed.xml</id><title type="html">Ian Dias Portfolio</title><subtitle>Datascience portfolio by Ian Dias</subtitle><entry><title type="html">Random forests, SVMs and Linear Models in the cryptocurrency space</title><link href="https://ianldias.github.io/Portfolio/machine_learning/stocks/2021/05/27/CryptoML.html" rel="alternate" type="text/html" title="Random forests, SVMs and Linear Models in the cryptocurrency space" /><published>2021-05-27T00:00:00-05:00</published><updated>2021-05-27T00:00:00-05:00</updated><id>https://ianldias.github.io/Portfolio/machine_learning/stocks/2021/05/27/CryptoML</id><author><name></name></author><category term="machine_learning" /><category term="stocks" /><summary type="html"></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://ianldias.github.io/Portfolio/images/bitcoin_forecast.png" /><media:content medium="image" url="https://ianldias.github.io/Portfolio/images/bitcoin_forecast.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Modern Slavery analysis</title><link href="https://ianldias.github.io/Portfolio/nlp/2021/04/06/ModernSlavery.html" rel="alternate" type="text/html" title="Modern Slavery analysis" /><published>2021-04-06T00:00:00-05:00</published><updated>2021-04-06T00:00:00-05:00</updated><id>https://ianldias.github.io/Portfolio/nlp/2021/04/06/ModernSlavery</id><author><name></name></author><category term="NLP" /><summary type="html"></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://ianldias.github.io/Portfolio/images/slavery_img.png" /><media:content medium="image" url="https://ianldias.github.io/Portfolio/images/slavery_img.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Removal of bots from twitter API calls with SpaCy</title><link href="https://ianldias.github.io/Portfolio/nlp/textclassification/2021/03/06/TwitterBotDetection.html" rel="alternate" type="text/html" title="Removal of bots from twitter API calls with SpaCy" /><published>2021-03-06T00:00:00-06:00</published><updated>2021-03-06T00:00:00-06:00</updated><id>https://ianldias.github.io/Portfolio/nlp/textclassification/2021/03/06/TwitterBotDetection</id><author><name></name></author><category term="NLP" /><category term="TextClassification" /><summary type="html"></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://ianldias.github.io/Portfolio/images/twitter_crontab.png" /><media:content medium="image" url="https://ianldias.github.io/Portfolio/images/twitter_crontab.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Web Application: Collating information and predicting stock and cryptocurrency prices</title><link href="https://ianldias.github.io/Portfolio/timeseries/forecasting/2021/02/28/StockWebApp.html" rel="alternate" type="text/html" title="Web Application: Collating information and predicting stock and cryptocurrency prices" /><published>2021-02-28T00:00:00-06:00</published><updated>2021-02-28T00:00:00-06:00</updated><id>https://ianldias.github.io/Portfolio/timeseries/forecasting/2021/02/28/StockWebApp</id><author><name></name></author><category term="timeseries" /><category term="forecasting" /><summary type="html"></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://ianldias.github.io/Portfolio/images/forecast_stock.png" /><media:content medium="image" url="https://ianldias.github.io/Portfolio/images/forecast_stock.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry><entry><title type="html">Forecasting retail turnover of household goods in the Australian economy</title><link href="https://ianldias.github.io/Portfolio/timeseries/forecasting/2020/11/15/Forecasting.html" rel="alternate" type="text/html" title="Forecasting retail turnover of household goods in the Australian economy" /><published>2020-11-15T00:00:00-06:00</published><updated>2020-11-15T00:00:00-06:00</updated><id>https://ianldias.github.io/Portfolio/timeseries/forecasting/2020/11/15/Forecasting</id><author><name></name></author><category term="timeseries" /><category term="forecasting" /><summary type="html"></summary><media:thumbnail xmlns:media="http://search.yahoo.com/mrss/" url="https://ianldias.github.io/Portfolio/images/forecasting.png" /><media:content medium="image" url="https://ianldias.github.io/Portfolio/images/forecasting.png" xmlns:media="http://search.yahoo.com/mrss/" /></entry></feed>