PLURALSIGHT.VISUALIZING.STATISTICAL.DATA.USING.SEABORN-JGTiSO

Section

Appz

Group

JGTiSO

Size

127,22 MB

Files

11

Date

2018-07-23

NFO

                                                                  ▄▄▄
                                                    ▄▄▄▄▄▄▄▀▀▀▀▀▀▀  █▓▄
                                      ▄▄▄▄▄▄▄▀▀▀▀▀▀▀                ███▓
                                     █ █▓                           ████
                                     █ █                            ▓███░
                                     █ █                        ▄   ░███▓
         ▄▄▄█▀▀▀▀▀▀▀▀▀▀▀▀█▄▄▄▄       ▓ █░       ▀  ▄▄▄▄▄▄▄▄██▓▀▀     ████
      ▄▒▓▀▄▄▄████████████▄▄▄▓▀▓▓▓▄▄  ░ █▓     ▀███ ▀██      ██       ████
      ░▒▓██▀▀▀██▀███▀██▀█▀██▓█▓▓▓▒▒░  █ █       ██▓ ██ ▀▓█  ██       ▓███░
      ░▒▓██ ▀▄█ █ █ █ █ ▀▄██▓█▓▓▓▒▒░  █ █       ███ ▀██ ▄▀ ▀▀▓▄      ░███▓
      ░▒▓██ ▀ █▄▀▄█▄▀▄█ █ ██▓█▓▓▓▒▒░  █ █░     ▄▀▀    ▀▀       ▀      ████
      ░▒▓███████████████████▓█▓▓▓▒▒░ ░ █ ▓         JUDGEMENT          ████
      ░▒▓██ █▀█ █▀▄▀█ ▄▀█  █▓█▓▓▓▒▒░ ░ █ █                            ▓███░
      ░▒▓██▄▀▄▀▄█ ▄ █ ▄▀█ ▀█▓█▓▓▓▒▒░ ░ █ █                            ░██ ▓
      ░▒▓██▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀██▓█▓▓▓▒▒░ ░ ▓ █░                            █ ██
      ░▒▓██▀▀▀█▀▀▀▀▀▀█▀█▀▀██▓█▓▓▓▒▒░ ░ ░█ ▓                            ██ █
    ▄▀░▒▓██▀▀▀▀▀▀█▀▀▀▀▀█▀▀██▓█▓▓▓▒▒░ ░▄ █ █                            ▓ ██░
   ▒ ▓░▒▓██▀▀▀█▀▀▀▀▀▀▀▀▀▀▀██▓█▓▓▓▒▒░ ░▒ █ █                            ░█ █▓
    ▒ ░▒▓██▀▀▀▀▀▀█▀▀▀▀▀▀█▀██▓█▓▓▓▒▒░ ░▒ ▓ █░ Loyalty. Pride. Tradition  ██ █
     ▒░▒▓████▀█▀████████████▓█▓▓▓▒▒░ ░▒ ░█ ▓       Since 1998 A.D.     ░█ ██
      ░▒▓███▀▀▀▀▀▀▀▀▀▀▀▀▀▀██▓█▓▓▓▒▒░ ░▒▓ █ █                       ▄▄▄▄▓██ █
      ░▀▀▄▄▄▀▀▀▀▀▀▀▀▀▀▀▀▀▀▄▄▄▄▀▀▀▒▒░░█▓▓▀▀▄█     ▄▄▄▄▄▄▄▄▀█▀█▀█▀▀▀█▀▄▀▄▀▄▀██
      ▄▀▀▄▄▄▓▓▓▓▓▓▓▓▓▓▓▓▓▓▄▄▄▄▀▀▀▄▄▀░▀▄▄ ▀▄▀█▀█▀█▀▄▀▄▀▄▀▄▀▄█▄█▄█▄▀▀▀▀▀▀▀▀▀ ▀
       ▓▓▀▀▀▄▄▄▄▄  ▄▄▀▀▀▀ ▀▀▀▀▓▓▓▄▄▀▓▀▄▄█▄ ▀▄█▄█▄█▀▀▀▀▀▀▀▀
      ░░░ ▒ █▀▀▄▄▀▀   ░░░░░░░░    ▀▀▓▓█▀▀ ░░   ░   ░░░░░░░░░░░░░░░░░░░░░░░░░
      ▒▒▒▒ ▒▄█▀ ▄▒▒▒▒▒▒▒▒▀ ▄▄▄ ▀▒▒▒  ▄▄▄▓▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒▒
      ▓▓▓▓▓▄▄▄▄▓▓▓▓▓▓▓▓▓█ ██▓▓▓ ▓▓▓▀ ▄▓▄▄▄▄▄     ▄▄▄▄▄ ▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
      ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀█  ▀▀▀  █▀▀▄▓██████████▓▀███▓▓ █▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀
        ▀███▀▀▀▀▀▀▀▀▀▀▀▀▀ ███▓▓▀ ▄▓      ▀▀▀█▀▀ ▀█████ ▀▀▀▀▀▀▀▀▀▀▀▀▀▀▀███▀
         ▓▀               ████▀ ███░      ▄▓█  ▄ ███████▓▒░            ▀▓
        ▀         ▄▄▄▄▄   ████ ███▓▓     ████▌▀▓▀████▓   ▄▄▄▄▄           ▀
                   ▓████  ████ ▓████░ ▄▓▄ ████▄  █████  ████▓
                  ███▓▓   ████▄ ▓███▓  ▀ ▄█▓▓███▄ ▀▓██   ▓▓███
                ▄████▀    █████  █████ ▄█▀  ▀███▓▓ ▀██    ▀████▄
               ▓████    ▀▄█████   ███▓▓▀     ▀█████ ██▄     ████▓
               ▀████ ▄▓▄ ▐█████    ▀▀▀    ▄   ████▀ ██▌ ▄▓▄ ████▀
          ▄      ▀▀▓█▄▀   ████▓     ▄▄   ▀▓▀ ▓▓█▀ ▄▓█▀   ▀▄█▓▀▀      ▄
      ▄▄▓▀           ▀▀▓████▓▀       ▀▀█▓▄▄▄██▀  ▓▓█████▓▀▀           ▀█▄▄
     ▓███                ▀▀▄▄          ░░▀▀▀  ▀▀   ▄▄▀▀                ██▓▓
      ▀▓██▄▄▄                ▀       ░ ▒▒ ░       ▀                ▄▄▄██▓▀
     ▀▄▄ ▀▀▀▓██████▄▄▄▄▄▄▄▄        ▀▄▒ ▓▓ ▒▄▀        ▄▄▄▄▄▄▄▄██████▓▀▀▀
       ▓▓▄  ▄  ▀▀▀▀▀▀▀▓▓███████▓█████▓ ██ ▓█████▓███████▓▓▀▀▀▀▀▀▀
        ██▓ ▄▓▄ ▀
        ███  ▀  * Title..: Visualizing Statistical Data Using Seaborn           
        ███     * Date...: July 23, 2018          
   ▄    ███     * Type...: Bookware  
    ▀▓███▓▓ █   * Disks..: 09x15mb   
         ▄▄▄▓ ▄                                                  ▄
        ▄▄▄  ▄ ▀▓▓█████████████████████████████████████████████▓▀
        ▓▓▓ ▄ ▀▄  ▀▀▓▄
       ▀▀▀▀  █ ▓▓  ▄  ▀    
   ░▒▓██████▀ ▄▀  ▀▓▀     Release notes:
        ▄▄▄
        ███   As deep learning approaches to machine learning rise in pop-
        ███   ularity, models are increasingly hard to understand and pic-
        ███   k apart. Consequently, the need for sophisticated visualiza-
        ███   tions of the data going into the model is becoming more and-
        ███    more urgent and important. 
In this course, Visualizing St-
        ███   atistical Data Using Seaborn, you will work with Seaborn wh-
        ███   ich has powerful libraries to visualize and explore your da-
        ███   ta. Seaborn works closely with the PyData stack - it is bui-
        ███   lt on top of Matplotlib and integrated with NumPy, Pandas, -
        ███   Statsmodels, and other Python libraries for data science
        ███   
        ███   
        ███   More info: 
        ███   https://www.pluralsight.com/     
        ███   
        ███   Install notes:
        ███	
        ███   1.) Unrar
        ███   2.) Burn/Mount
        ███   3.) Enjoy!
        ███
        ▓▓▓
        ▒▒▒
        ░░░
        ▄▄▄  ▄ ▀▓▓█████████████████████████████████████████████▓▀
        ▓▓▓ ▄ ▀▄  ▀▀▓▄
       ▀▀▀▀  █ ▓▓  ▄  ▀         GREETINGS:
   ░▒▓██████▀ ▄▀  ▀▓▀
        ▄▄▄              AOD, CLASS, CROSSFiRE, JiOO, SAC, BBL
        ███              EVILISO, 4KIDS, SHOCK, MAGE, DYNAMiCS
        ███
        ███▄▀ ▄▀         Big thanks to all JGT sites, and
        ███▌ ██ ▒        sites accepting us!
        ▓██▓▄ ▀▄                                    ▄▄▄▄▄▄▄
       ▀  ▀██▓▓▄▄▄▄                                   ████▓▓
             ▀▀▀▀████▓▓▄▄▄▄▄                         ▄██████
                     ▀▀▀▀▀█████▓▓▄▄▄▄▄          ▄▄▄▄▓████▓▀
               █▓▓           ▄ ▀▀▀▀▀▓▓████████████████▓▀▀
               ███            ▀▀▀▓▓▄▄▄  ▀▀▀▀▀▀▀▀▀▀▀▀
 ░▒▓█▀▄▀▄  ▀▓███████▓▀  ▄▀▄▀▄▀▄▀ ▄ ▀▀██▓▄ ▀▄▄ ▀▀▀▄▀▄▀▄▀▄▀▄█▀▓▓▓▒▒▒ ▒▒░░ ░
               ███                ▄▓▄ ██▓▓  ▓▓ ▀
               ███  in memory of   ▀ ▄█▀▀  ▄▀   drawn by the honored
               ███    THEPROF       ▀                  FX/SAC
              ▄▓██
                ▀▀▄  
                   
                             "judgement day is near..."


Files