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

Monday, June 14, 2021

AWS ( Amazon ) Web Services Advantages and management console

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Labels: advantages, ai, algorithm, algorithms, amazon, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks

Amazon Web Storage Services

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Labels: ai, algorithm, algorithms, amazon, artificial intelligence, aws, classifier, coding, computer science, data analytics, data exploration, data science, machine learning, naive bayes, neural networks

Sunday, June 13, 2021

Some usages and applications of Naïve Bayes Algorithms over Data Science - Data Science Interview Questions

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Labels: ai, algorithm, algorithms, artificial intelligence, classifier, coding, computer science, data analytics, data exploration, data science, machine learning, naive bayes, neural networks

Some Important Questions on Naive bayes Algorithm and their usages in Analytics and Data Science

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Labels: ai, algorithms, amazon, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, machine learning, programming, reliability, scalability

Infographic Descriptive Note on the concept of Flexibility of Amazon Web Services (AWS) Cloud Computing

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Labels: ai, algorithms, amazon, artificial intelligence, aws, cloud, coding, computer science, computing, data analytics, data exploration, data science, evolution, flexibility, machine learning, programming, reliability

Question on Data Ssience - What are the disadvantages of using Naive Bayes Classifier Algorithm

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Infographic Descriptive Note on the concept of Cloud Computing , its beginning and history

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Labels: ai, algorithms, amazon, arpanet, artificial intelligence, at&t, aws, cloud, coding, compaq, computer science, computing, data analytics, data exploration, data science, machine learning, reliability, scalability

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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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