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 revision. Show all posts

Showing posts with label revision. Show all posts

Sunday, June 13, 2021

Step-by-Step learning for Effective Data Science Learning - Referred from Mr.Krish Naik , Data Scientist

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, programming, revision

Thursday, June 10, 2021

Infographic Short Note on Serverless Computing , Serverless Cloud Computing and Function as a Service(FaaS)

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, data analytics, data exploration, data science, FaaS, machine learning, neural networks, notes, programming, revision, server;ess

Infographic Short Note on Serverless Computing and Serverless Cloud Computing Scenario

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Labels: ai, algorithms, artificial intelligence, cloud, coding, computer science, computing, data analytics, data exploration, data science, machine learning, neural networks, notes, programming, revision, serverless

Infographic Descriptive Note on Pursuing a Data Science and Machine Learning career without a degree of course

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, github, kaggle, machine learning, neural networks, notes, programming, revision

Infographic Short Note on Data Pipelines and Data Pipelining in ETL and Data Warehousing

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, pipeline, pipelining, programming, revision

Infographic Short Note on Data Modelling and what does it consist of

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data engineering, important, machine learning, modelling, notes, optimisation, questions, revision

Infographic Note on difference between a Data Engineer vs Software Engineer's Tasks and nature of job

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, optimisation, programming, revision

Infographic Note on difference between a Data Engineer and a Software Engineer

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, engineer, machine learning, neural networks, notes, optimisation, programming, revision, software

Sunday, June 6, 2021

Infographic Short Note on usage of FIND-S Algorithm and its Representation and its intrinsic Steps in applications of Machine Learning

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Labels: ai, algorithm, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, find-s, machine learning, neural networks, notes, optimisation, programming, revision

Infographic Short Note on Find-S Algorithm for search finding over any Hypothesis space in Machine Learning

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Labels: ai, algorithm, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, find-s, machine learning, neural networks, notes, optimisation, programming, revision

Infographic Short Note on Suggested Videos to Watch and learn to win Data Science Competitions and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, optimisation, programming, revision

Infographic Short Note on Types and Methods of Ensembling in a Statistical Model and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, ensembling, machine learning, neural networks, notes, programming, revision

Infographic Short Note on Methods of Underfitting over a Statistical Model in Statistics and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, hypothesis, machine learning, neural networks, notes, programming, revision, testing

Infographic Short Note on Methods of Underfitting over a Model in Statistics and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, condition, data analytics, data exploration, data science, machine learning, neural networks, notes, programming, revision, underfitting

Infographic Short Note on Methods to reduce Overfitting over a generated Model in Statistics and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, overfitting, programming, revision, underfitting

Infographic Short Note on Alternative Hypothesis as a parameter for testing in Statistics and its applications of Machine Learning

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Labels: ai, algorithms, alternative, artificial intelligence, coding, computer science, data analytics, data exploration, data science, hypothesis, machine learning, neural networks, notes, programming, revision

Infographic Short Note on Null Hypothesis as a parameter for testing in Statistics and its applications of Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, hypothesis, machine learning, neural networks, notes, null, optimisation, programming, revision

Infographic Short Note on P-value in Statistics and its applications in Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, machine learning, neural networks, notes, optimisation, programming, revision, statistics

Infographic Short Note on the concept of Level of Significance which is used to determine acceptance of a Statistical Hypothesis with applications over Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, hypothesis, machine learning, neural networks, notes, programming, revision, significance

Infographic Short Note on Type-1 Errors in Statistics and applications of Machine Learning

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Labels: ai, algorithms, artificial intelligence, coding, computer science, data analytics, data exploration, data science, errors, hypothesis, machine learning, neural networks, notes, optimisation, programming, revision

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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 )
Example on Permutation and Combination of numbers
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

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