Data Science and AI Quest

This technical blog is my own collection of notes , articles , implementations and interpretation of referred topics in coding, programming, data analytics , data science , data warehousing , Cloud Applications and Artificial Intelligence . Feel free to explore my blog and articles for reference and downloads . Do subscribe , like , share and comment ---- Vivek Dash

Showing posts with label Big Data Analytics. Show all posts
Showing posts with label Big Data Analytics. Show all posts

Thursday, July 22, 2021

Concept of "NoSQL Databases" in Big Data Analytics with 7 sample conceptual questions and answers | Infographic Note with explanation

 


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Labels: Big Data Analytics, data analytics, data engineering, data science, heterogenuous data, homogenuous data, integrity constraints, nosql, nosql databases, rdbms, redundancy constraints, sql, unstructured data

Thursday, July 15, 2021

How Netflix uses Python as its major programming language for its application's processes | Infographic Note on Netflix's Stack of Technologies


 

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Labels: Big Data Analytics, CDN, Demand Engineering, machine learning, Monitoring and Auto-Remediation, Netflix Animation, Open Connect, Scientific Experimentation, VFX Information Security, Video Encoding, VOD
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One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note

 

  • Data Pre-processing in Machine Learning - All the constituent steps which are part of a Machine Learning Project ( infographic notes )
     
  • One Hot Encoding and Dummy Variables Generation upon a dataframe | Scenario - Perform One-Hot Encoding upon Un-Ordered Data in a sample dataframe and generate One-hot encoded feature variables | Conceptual Infographic Note
     
  • Twitter Sentiment Analysis Conceptual Infographic Notes | Getting Started with Sentiment Analysis based NLP Project with its main objectives , considerations , challenges , Approach and Steps
     

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