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

 

Handling Categorical Data in Dataframe and Dataset | Types of Categorical Data and its examples | Conceptual Infographic Note

 

Label Encoding and Ordinal Encoding in Python | Scenario - Perform Ordinal Encoding upon Ordered Data in a sample dataframe and generate encoded features of the data | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding sub-string match patterns to validate a genuine number from a numeric string using Regular Expressions and search() method in Python | Conceptual Infographic Note

 

Case 01 : Ascertaining a positive match using "\w" to match a specific phone number to a generic string

Case 02 : Ascertaining a negative  match or mismatch using "\w" whether a  match over given string occurs or not

Regular Expressions in Python | Scenario - Finding a sub-string match and its count from a main string using Regular Expressions and findall() function in Python | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Replacing a word ("sub-string") with another word ("sub-string") in a main string using Regular Expressions and substitute function in Python | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding matching pattern of the main string using Regular Expressions and findall() function in Python | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding Positional Indexes of each matching pattern of the main string using Regular Expressions | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding and Retrieving specific sub-strings with commonality in patterns using Regular Expressions | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding and Retrieving specific sub-strings with commonality in patterns using Regular Expressions | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding and Retrieving specific sub-string and their cpount of occurrence from a main parent string using regular expressions | Conceptual Infographic Note

 

Regular Expressions in Python | Scenario - Finding and Retrieving specific positional indexes of sub-strings and index positions from a parent string using regular expressions and store them in one dictionary | Conceptual Inforgraphic Note

 

Regular Expressions in Python | Scenario - Finding and Retrieving specific sub-strings and integers from a parent string using regular expressions and store them in one dictionary | Conceptual Inforgraphic Note

 

Regular Expressions in Python usecase Scenario | Finding and Retrieving specific sub-strings from a parent string using regular expressions and storing in separate list | Conceptual Inforgraphic Note

 

Features of NoSQL Databases and their Usage for Analytics | 5 Conceptual Questions and Answers | Concept Infographic Note

 

Topics discussed in the post the following questionnaire :

Q1) What are some predominant features of No-SQL databases ?

Q2) Why NoSQL is called "SQL with a No " with "No" as the preceding string on SQL ?

Q3) How do organisations leverage NoSQL data for their businesses ?

Q4) Where are NoSQL databases useful ?

Q5) What do you mean by the statement , "The constraints of a relational database are relaxed ? "

Difference between RDBMS and NoSQL databases | 10 Conceptual Questions and Answers | Concept Infographic Note

Questions and answers discussed in the post:

Q1) What are the different ways in which RDBMS databases differ from NOSQL databases?

Q2) What are the Applications Level feature supported by RDBMS and NoSQL Databases ?

Q3) What are the principles of RDBMS and NoSQL type databases ?

Q4) Explain about Availability aspect of RDBMS and NoSQL type databases ?

Q5) What is the data velocity supported over RDBMS and NoSQL databases ?

Q6) What do you mean by Latency . What happens if Latency is High ? And what happens if Latency is Low ?

Q7) What is the data volume supported over RDBMS and NoSQL databases ?

Q8) What are the data sources present over RDBMS and NoSQL databases ?

Q9) What are the different data types that are present over RDBMS and NoSQL ?

Q10) What are the different data accesses that are present over RDBMS and NoSQL ?

Q11) What are the different technologies that are supported over RDBMS and NoSQL ?

Q12) Write about the cost aspects of RDBMS and NoSQL

Shopping Cart Total Bill Generation Project in Python using Jupyter Notebook | Sample Mini-Project Implementation Infographic Note

 

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

 

Examples of Using "JOIN" function on Python Data Structures | Sample Conceptual Questions with Answers with examples | Infographic Note

 

Example - 01 : Joining Numeric List Elements with char string

Example - 02 : Joining Tuples with character string

Example - 03 : Joining List elements with long string

Example - 04 : Joining Character List Elements with long string

Example - 05 : Joining Character List Elements with null string

Stemming Concept for text pre-processing in Natural Language Processing Conceptual Infographic Notes | Stemming Concept with example and explanatory notes