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  • Author: BaDshaH
  • Date: 6-02-2023, 02:46
6-02-2023, 02:46

Packt Beginning Data Science With Python And Jupyter

Category: Tutorials

Packt Beginning Data Science With Python And Jupyter

PACKT BEGINNING DATA SCIENCE WITH PYTHON AND JUPYTER
Size: 692.99 MB
Genre: eLearning | Language: English




  ...is a collective term for characteristics that the two institutions share.
     █ Beginning Data Science with Python and Jupyter                     
     █                                                          
     ▄
     █ Estimated time to complete: 2h 49m                                
     █ Topics: Python                                                    
     ▒                                                                    
     ▒                                                                     
     ░ Scale: 15x50                                                            
     ░ Lecture Date: 10/2018          
     ░ Lecture Link: https://goo.gl/5z1Wca                
     ░
     :
     | Getting started with data science doesnÆt have to be an uphill     
     | battle. This step-by-step video course is ideal for beginners who  
     | know a little Python and are looking for a quick, fast-paced       
     | introduction. Get to grips with the skills you need for entry-     
     | level data science in this hands-on Python and Jupyter course.     
     | YouÆll learn about some of the most commonly used libraries that   
     | are part of the Anaconda distribution, and then explore machine    
     | learning models with real datasets to give you the skills and      
     | exposure you need for the real world.We'll start with              
     | understanding the basics of Jupyter and its standard features.     
     | You'll be analyzing an example of a data analytics report. After   
     | analyzing a data analytics report, next step is to implement       
     | multiple classification algorithms. WeÆll then show you how easy   
     | it can be to scrape and gather your own data from the open web, so 
     | that you can apply your new skills in an actionable context.       
     | Finish up by learning to visualize these data interactively.       
     ,
     

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