{"id":496,"date":"2019-03-25T13:27:56","date_gmt":"2019-03-25T13:27:56","guid":{"rendered":"http:\/\/mribeirodantas.xyz\/blog\/?p=496"},"modified":"2019-04-22T02:16:41","modified_gmt":"2019-04-22T02:16:41","slug":"best-links-of-the-week-11","status":"publish","type":"post","link":"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/03\/25\/best-links-of-the-week-11\/","title":{"rendered":"Best links of the week #11"},"content":{"rendered":"Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>\n

Best links of the week from 18th March to 24th March.<\/h3>\n\n\n\n

Links<\/h4>\n\n\n\n
  1. Tips and Tricks to Ace Data Science Interviews \u2013 Brand New Podcast Series by Analytics Vidhya!<\/a> at Analytics Vidhya<\/a>.<\/li>
  2. Top 5 Data Science GitHub Repositories and Reddit Discussions (January 2019)<\/a> at Analytics Vidhya<\/a>.<\/li>
  3. The 25 Best Data Science and Machine Learning GitHub Repositories from 2018<\/a> at Analytics Vidhya<\/a>.<\/li>
  4. Source code and overall data of the Deep Learning Summer School 2018<\/a> at Deep Learning Brasil GitHub repository<\/a>.<\/li>
  5. How can you set yourself apart when everyone is doing machine learning or data science in 2019?<\/a> at Quora<\/a>.<\/li>
  6. What are some general tips on feature selection and engineering that every data scientist should know?<\/a> at Quora<\/a>.<\/li>
  7. An overview of feature selection strategies<\/a> by Burak Himmetoglu<\/a> at Data Science Central<\/a>.<\/li>
  8. Selecting features as (network) nodes<\/a> at Chloe-Agathe Azencott’s GitHub<\/a> page.<\/li>
  9. Como anda o metr\u00f4 de S\u00e3o Paulo?<\/a> at Paulo Haddad’s GitHub page<\/a>.<\/li>
  10. IMD sedia lan\u00e7amento de chamada p\u00fablica nacional para financiamento \u00e0 inova\u00e7\u00e3o tecnol\u00f3gica<\/a> at Not\u00edcias do Instituto Metr\u00f3pole Digital<\/a>.<\/li>
  11. Gest\u00e3o Por seguran\u00e7a e transpar\u00eancia, Receita leva base de CPF para Blockchain<\/a> at CIO<\/a>.<\/li><\/ol>\n\n\n\n\n\n\n\n

    Blog\/posts<\/h4>\n\n\n\n
    1. Building a dataset for the S\u00e3o Paulo Subway operation<\/a> by Douglas Navarro<\/a> at Towards Data Science<\/a>.<\/li>
    2. How People Meet Their Partners<\/a> by Nathan Yau<\/a> at FLOWINGDATA<\/a>.<\/li>
    3. Shifts in How Couples Meet, Online Takes the Top<\/a> by Nathan Yau<\/a> at FLOWINGDATA<\/a>.<\/li>
    4. Outlier Detection with Isolation Forest<\/a> by Eryk Lewinson<\/a> at Towards Data Science<\/a>.<\/li>
    5. Outlier Detection with Extended Isolation Forest<\/a> by Eryk Lewinson<\/a> at Towards Data Science<\/a>.<\/li>
    6. Introduction to Power Analysis in Python<\/a> by Eryk Lewinson<\/a> at Towards Data Science<\/a>.<\/li>
    7. Interpreting the coefficients of linear regression<\/a> by Eryk Lewinson<\/a> at Towards Data Science<\/a>.<\/li>
    8. Explaining Feature Importance by example of a Random Forest<\/a> by Eryk Lewinson<\/a> at Towards Data Science<\/a>.<\/li>
    9. 5 Ways to Detect Outliers\/Anomalies That Every Data Scientist Should Know (Python Code)<\/a> by Will Badr<\/a> at Towards Data Science<\/a>.<\/li>
    10. What Is Feature Engineering for Machine Learning?<\/a> by Amit Shekhar<\/a> at MindOrks’ Medium<\/a>.<\/li>
    11. Seven Ways to Make up Data: Common Methods to Imputing Missing Data<\/a> at The Analysis Factor<\/a>.<\/li>
    12. Two Recommended Solutions for Missing Data: Multiple Imputation and Maximum Likelihood<\/a> at The Analysis Factor<\/a>.<\/li>
    13. How to Handle Missing Data with Python<\/a> at Machine Learning Mastery<\/a>.<\/li>
    14. Missing Value Treatment with R<\/a> at R Statistics<\/a>.<\/li>
    15. Como eu me tornei um Engenheiro de Machine Learning\/Deep Learning<\/a> by Arnaldo Gualberto<\/a> at ENSINA AI<\/a>.<\/li><\/ol>\n\n\n\n

      Videos<\/h4>\n\n\n\n
      1. Real Talk with Google Data Scientist (with a PhD in Physics)<\/a> at Springboard’s YouTube channel<\/a>.<\/li>
      2. Intelig\u00eancia Artificial com Dinossauro da Google<\/a> at Ivan Seidel’s YouTube channel<\/a>.<\/li>
      3. Comparando 10 modelos preditivos diferentes de S\u00e9ries Temporais<\/a> at Prof. Fernando Amaral’s YouTube channel<\/a>.<\/li><\/ol>\n\n\n\n

        Podcast episodes<\/h4>\n\n\n\n
        1. O mundo est\u00e1 se tornando um lugar pior?<\/a> at Deviante: Spin de Not\u00edcias<\/a>.<\/li><\/ol>\n\n\n\n

          Data Science focused and commented version in Portuguese\u00a0here<\/a>.<\/strong>
          <\/p>\n","protected":false},"excerpt":{"rendered":"

          Reading time: <\/span> 2<\/span> minutes<\/b><\/span><\/span>Data Analyses, Feature Selection and Engineering, Missing Data handling and much more! Come read this release of my best links of the week! \ud83d\ude09<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","enabled":false},"version":2}},"categories":[8],"tags":[28,48,46,45],"class_list":["post-496","post","type-post","status-publish","format-standard","hentry","category-bestlinks","tag-data-science","tag-feature-engineering","tag-feature-selection","tag-github-repositories"],"jetpack_publicize_connections":[],"yoast_head":"\nBest links of the week #11 - The Dataist Storyteller<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/mribeirodantas.xyz\/blog\/index.php\/2019\/03\/25\/best-links-of-the-week-11\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Best links of the week #11 - The Dataist Storyteller\" \/>\n<meta property=\"og:description\" content=\"Reading time: 2 minutesData Analyses, Feature Selection and Engineering, Missing Data handling and much more! 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