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

Sunday, January 17, 2021

17 - Theorems on Probability ( overview )

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Labels: big data, coding, computer science, data, data analytics, data exploration, data science, machine learning, mathematics, methods, pattern, probability, procedure, programming, python, statistics, technique, theorem

16 - Axioms of Probability (short overview)

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15 - Concept of Probability ( Classical and Frequency Approach to any problem)

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14 - Concept of Probability with relation to Chance

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13 - Sample Space of Events and Basic Operations like Union , Intersection , Complement etc

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12 - Events - Mutually Exclusive Events ( A sample Representation )

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11 - Extension on Events ( A sample Representation )

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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 )
Infographic Notes on the concept of Linear Regression - What is Regression Analysis ?
Example of Python - use of %c character formatter

Example of Python - use of %c character formatter

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