{"id":11268,"date":"2020-04-21T11:00:00","date_gmt":"2020-04-21T15:00:00","guid":{"rendered":"https:\/\/brainstation.io\/blog\/?p=11268"},"modified":"2020-05-19T13:45:35","modified_gmt":"2020-05-19T17:45:35","slug":"data-science-showcase-winter-2020","status":"publish","type":"post","link":"https:\/\/brainstation.io\/blog\/data-science-showcase-winter-2020","title":{"rendered":"Data Science Showcase Winter 2020"},"content":{"rendered":"\n<p>Despite the COVID-19 outbreak, hundreds of BrainStation students recently graduated with Diplomas in UX Design, <a rel=\"noreferrer noopener\" aria-label=\"Web Development (opens in a new tab)\" href=\"https:\/\/brainstation.io\/blog\/graduate-showcase-winter-2020\" target=\"_blank\">Web Development<\/a>, and Data Science. We couldn&#8217;t be prouder of their achievements and the way they took everything in stride.<\/p>\n\n\n\n<p>BrainStation\u2019s full-time Diploma programs culminate with students producing an individual portfolio piece for their final Capstone project.<\/p>\n\n\n\n<p>Here are some of our favorite Data Science projects from Winter 2020. You can also see all of our graduate&#8217;s projects on our <a rel=\"noreferrer noopener\" aria-label=\"hiring page (opens in a new tab)\" href=\"https:\/\/brainstation.io\/hiring-brainstation-graduates\" target=\"_blank\">hiring page<\/a>. <\/p>\n\n\n\n<h2>RoadBoost: Intelligent Traffic Light Control System<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Daria Aza (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/dariaaza\/\" target=\"_blank\">Daria Aza<\/a><\/h3>\n\n\n\n<p>The satisfying video below speaks for itself. See how Daria was able to improve traffic flow using Deep reinforcement learning to regulate traffic lights.&nbsp;<\/p>\n\n\n\n<p>Using SUMO (Simulation of Urban Mobility) to create an environment with vehicles and pedestrians, Daria\u2019s goal was to teach traffic lights to react to situations in real-time and adjust lights accordingly. The negative cumulative reward was calculated based on the number of vehicles and pedestrians stopped at the intersection. After every action, the reward was recalculated, eventually decreasing the delay to such an extent that most vehicles and pedestrians were able to move through without waiting. <\/p>\n\n\n\n<p>View Daria\u2019s <a rel=\"noreferrer noopener\" aria-label=\" (opens in a new tab)\" href=\"https:\/\/github.com\/dariaaza\" target=\"_blank\">GitHub<\/a> to learn more.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/intersectionnew.mp4\"><\/video><\/figure>\n\n\n\n<div class=\"lead-grid-container\">\n<div class=\"lead__card\">\n<div class=\"lead__image\"><img decoding=\"async\" class=\"hide--mobile\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/03\/Data.jpg\" alt=\"Icon\"><\/div>\n<div class=\"lead__content\">\n<p id=\"lead__heading\" class=\"heading--4\">Become a Data Scientist in just 12 weeks!<\/p>\n<p class=\"lead__description\">BrainStation&#8217;s <a href=\"https:\/\/brainstation.io\/course\/online\/remote-data-science-bootcamp?utm_source=Blog&amp;utm_medium=BlogPost&amp;utm_campaign=blogLead\" target=\"_blank\" rel=\"noopener noreferrer\">Data Science Diploma Program<\/a> is a full-time, 12-week program that provides professionals with the skills and experience to start a new career in data.<\/p>\n<p id=\"lead__button--margin\"><a id=\"lead__button--hover\" class=\"lead__button\" href=\"https:\/\/brainstation.io\/book-call\/data-science-bootcamp?utm_source=Blog&amp;utm_medium=BlogPost&amp;utm_campaign=blogLead\" target=\"_blank\" rel=\"noopener noreferrer\">Speak to a Learning Advisor<\/a><\/p>\n\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<h2>Human Activity Recognition<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Carlo Jiaxu Chen (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/jiaxuchenyvr\/\" target=\"_blank\">Carlo Jiaxu Chen<\/a><\/h3>\n\n\n\n<p>Carlo developed a novel attribute-based machine learning architecture that can recognize human activities such as walking, running, or laying down with limited training data, and an efficient neural network model (CNN-LSTM). The model can accurately predict your activity with results of up to 94 percent accuracy!<\/p>\n\n\n\n<p>He intends for this technology to be useful for virtual reality software, health, and fitness services, and more. <\/p>\n\n\n\n<p>See Carlo&#8217;s <a rel=\"noreferrer noopener\" aria-label=\"github (opens in a new tab)\" href=\"https:\/\/github.com\/CarloCHEN\" target=\"_blank\">GitHub<\/a> to see more of his process. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"581\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/Screen-Shot-2020-04-14-at-4.07.51-PM-1024x581.png\" alt=\"\" class=\"wp-image-11103\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM-1024x581.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM-300x170.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM-768x436.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM-1536x872.png 1536w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM-2048x1162.png 2048w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM-960x545.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14160837\/Screen-Shot-2020-04-14-at-4.07.51-PM.png 2664w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>Classifying Letters of the ASL Alphabet<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Angel Phanthanourak (opens in a new tab)\" href=\"http:\/\/www.linkedin.com\/in\/angelphanth\/\" target=\"_blank\">Angel Phanthanourak<\/a><\/h3>\n\n\n\n<p>Angel sought to classify letters of the American Sign Language (ASL) alphabet in real-time. Using deep learning (specifically the VGG16 Convolutional Neural Network) she was able to predict ASL letters from live webcam capture with 66 percent accuracy, much higher than randomized predictions, which are accurate 4 percent of the time. <\/p>\n\n\n\n<p>Her hope is that this tool can help accessibility and independence for members of the deaf, hard of hearing, and non-verbal communities. <\/p>\n\n\n\n<p>Find updates on Angel&#8217;s <a rel=\"noreferrer noopener\" aria-label=\"LinkedIn (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/angelphanth\/\" target=\"_blank\">LinkedIn<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-video\"><video controls src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/Sequence-01_1.mp4\"><\/video><\/figure>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"816\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak-1024x816.jpg\" alt=\"\" class=\"wp-image-11064\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09153142\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak-1024x816.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09153142\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak-300x239.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09153142\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak-768x612.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09153142\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak-1536x1224.jpg 1536w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09153142\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak-960x765.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09153142\/Confusion-Matrices-displaying-best-model-performance-Angel-Phanthanourak.jpg 2000w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>Forecasting Import and Export Trends<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Reza Navidi (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/reza-navidi-b6a0728\/\" target=\"_blank\">Reza Navidi<\/a><\/h3>\n\n\n\n<p>Reza&#8217;s time series model forecasts import and export trends in Canada. The model investigates global market shares and finds the top merchandise in import and export over the years.  <\/p>\n\n\n\n<p>See his work on <a rel=\"noreferrer noopener\" aria-label=\"github (opens in a new tab)\" href=\"https:\/\/github.com\/rnavidi\" target=\"_blank\">GitHub<\/a>. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"722\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/2-Box-graph-import-reza-omran-navidi-1024x722.jpg\" alt=\"\" class=\"wp-image-11245\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17144808\/2-Box-graph-import-reza-omran-navidi-1024x722.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17144808\/2-Box-graph-import-reza-omran-navidi-300x212.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17144808\/2-Box-graph-import-reza-omran-navidi-768x542.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17144808\/2-Box-graph-import-reza-omran-navidi-960x677.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17144808\/2-Box-graph-import-reza-omran-navidi.jpg 1242w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>Radiomics: Associating tumor features with survival outcome<\/h2>\n\n\n\n<h3>(<a rel=\"noreferrer noopener\" aria-label=\"Herv\u00e9 (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/herve-choi\/\" target=\"_blank\">Herv\u00e9<\/a>) Hiu Fai Choi<\/h3>\n\n\n\n<p>Herv\u00e9\u2019s project aims to associate lung cancer tumor features with the survival outcome of the patient. Observing characteristics of the tumor, such as how big, irregular, lumpy, or coarse the tumor is, may influence the treatment the patient chooses to undergo or the clinician chooses to administer. <\/p>\n\n\n\n<p>Herve\u2019s data found that more non-uniform tumors yield unfavorable survival outcomes, which may prompt more aggressive approaches for tumor management. <\/p>\n\n\n\n<p>Look into more of <a href=\"https:\/\/github.com\/hhfchoi\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"Herve\u2019s work (opens in a new tab)\">Herve\u2019s work<\/a>.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"683\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/histogram-of-gray-level-non-uniformity-normalized-for-the-clusters-Herve-Choi-1024x683.png\" alt=\"\" class=\"wp-image-11054\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09150238\/histogram-of-gray-level-non-uniformity-normalized-for-the-clusters-Herve-Choi-1024x683.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09150238\/histogram-of-gray-level-non-uniformity-normalized-for-the-clusters-Herve-Choi-300x200.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09150238\/histogram-of-gray-level-non-uniformity-normalized-for-the-clusters-Herve-Choi-768x512.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09150238\/histogram-of-gray-level-non-uniformity-normalized-for-the-clusters-Herve-Choi-960x640.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/09150238\/histogram-of-gray-level-non-uniformity-normalized-for-the-clusters-Herve-Choi.png 1512w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>Use of NLP and Supervised Learning to Target Wine Scores<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Aviel Stern (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/avielstern\/\" target=\"_blank\">Aviel Stern<\/a><\/h3>\n\n\n\n<p>Aviel created a predictive model for wine scores by looking at geography, price, description, variety, and vintage. This algorithm provides valuable consumer insights to wine sellers curating selections and consumers looking for trendy flavors.<\/p>\n\n\n\n<p>Her work found that logistic regression performed the best with a 80 percent accuracy score in predicting how well wine would be rated. <\/p>\n\n\n\n<p>See Aviel&#8217;s process on <a href=\"https:\/\/github.com\/avielrs\" target=\"_blank\" rel=\"noreferrer noopener\" aria-label=\"github (opens in a new tab)\">github<\/a>.   <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"702\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/AvielStern_Figure1-Aviel-Stern-1024x702.jpg\" alt=\"\" class=\"wp-image-11250\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17151438\/AvielStern_Figure1-Aviel-Stern-1024x702.jpg 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17151438\/AvielStern_Figure1-Aviel-Stern-300x206.jpg 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17151438\/AvielStern_Figure1-Aviel-Stern-768x527.jpg 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17151438\/AvielStern_Figure1-Aviel-Stern-1536x1053.jpg 1536w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17151438\/AvielStern_Figure1-Aviel-Stern-960x658.jpg 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17151438\/AvielStern_Figure1-Aviel-Stern.jpg 1756w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>NLP for Fake News Detection<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Tom Satterthwaite (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/tom-satterthwaite\/\" target=\"_blank\">Tom Satterthwaite<\/a><\/h3>\n\n\n\n<p>The public is only able to identify fake news headlines with 16 to 36 percent accuracy, so Tom aimed to use NLP on news article headlines to develop a model with 75 percent accuracy. <\/p>\n\n\n\n<p>In the end, Tom was able to build an RNN to achieve an accuracy of 82 percent in predicting fake news. <\/p>\n\n\n\n<p>Take a look at Tom&#8217;s <a rel=\"noreferrer noopener\" aria-label=\"github (opens in a new tab)\" href=\"https:\/\/github.com\/satters94\" target=\"_blank\">GitHub<\/a>. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"811\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/Election-News-Trend-Tom-Satterthwaite-1024x811.png\" alt=\"\" class=\"wp-image-11246\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17145216\/Election-News-Trend-Tom-Satterthwaite-1024x811.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17145216\/Election-News-Trend-Tom-Satterthwaite-300x238.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17145216\/Election-News-Trend-Tom-Satterthwaite-768x608.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17145216\/Election-News-Trend-Tom-Satterthwaite-1536x1216.png 1536w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17145216\/Election-News-Trend-Tom-Satterthwaite-960x760.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/17145216\/Election-News-Trend-Tom-Satterthwaite.png 1584w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2>Genre Genie &#8211; Movie Genre Predictions<\/h2>\n\n\n\n<h3><a rel=\"noreferrer noopener\" aria-label=\"Tom Keith (opens in a new tab)\" href=\"https:\/\/www.linkedin.com\/in\/tomkeithdata\/\" target=\"_blank\">Tom Keith<\/a><\/h3>\n\n\n\n<p>Tom&#8217;s app predicts movie genres from a plot summary using multi-label classification machine learning and natural language processing.<\/p>\n\n\n\n<p>Just enter a plot summary and Genre Genie will predict the genre breakdown between themes such as action, fantasy, adventure, sci-fi, or drama with up to 100 percent accuracy. <\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" aria-label=\"Try Genre Genie (opens in a new tab)\" href=\"http:\/\/tomkeith.pythonanywhere.com\/\" target=\"_blank\">Try Genre Genie<\/a> for yourself, and see Tom&#8217;s <a rel=\"noreferrer noopener\" aria-label=\"github (opens in a new tab)\" href=\"https:\/\/github.com\/tomkeith\" target=\"_blank\">GitHub<\/a> for more details. <\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" loading=\"lazy\" width=\"1024\" height=\"725\" src=\"https:\/\/brainstation.io\/blog\/wp-content\/uploads\/2020\/04\/Genre-genie-1-app-screenshot-Tom-Keith-1024x725.png\" alt=\"\" class=\"wp-image-11107\" srcset=\"https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14181117\/Genre-genie-1-app-screenshot-Tom-Keith-1024x725.png 1024w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14181117\/Genre-genie-1-app-screenshot-Tom-Keith-300x212.png 300w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14181117\/Genre-genie-1-app-screenshot-Tom-Keith-768x544.png 768w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14181117\/Genre-genie-1-app-screenshot-Tom-Keith-960x679.png 960w, https:\/\/d2re7sjnpekmig.cloudfront.net\/prod\/wp-content\/uploads\/2020\/04\/14181117\/Genre-genie-1-app-screenshot-Tom-Keith.png 1201w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Look through some of our favorite Data Science graduate projects.<\/p>\n","protected":false},"author":7,"featured_media":10740,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":[],"categories":[343,83],"tags":[1115,331,405,1270],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v18.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Data Science Showcase Winter 2020 | BrainStation\u00ae Blog<\/title>\n<meta name=\"description\" content=\"Look through some of our favorite Data Science graduate projects.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/brainstation.io\/blog\/data-science-showcase-winter-2020\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Science Showcase Winter 2020 | 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