▼
Showing posts with label data exploration. Show all posts
Showing posts with label data exploration. Show all posts
Friday, July 23, 2021

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 c...

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 ...
Thursday, July 22, 2021

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 L...
Thursday, July 15, 2021

Effective Lambda Expressions and Anonymous Functions in Python : Infographic Note on concept of Lambda expressions , its usage , examples and applications

›
 
Wednesday, July 14, 2021

Simulation of Bubble Sort Operation over a List in Python : An Infographic Note for Better Understanding of Iterative Bubble Sort Process

›
 

Performing Bubble Sort Operation over a List in Python | Infographic Note on procedure for doing Bubble Sort with Code and Examples

›
 

Infographic Note on Z-Score in Statistics and Machine Learning with it's usage scenario , calculation , implication and applications

›
 
Monday, July 12, 2021

Infographic Note on why Outliers are not deleted at the time of Data Processing or Data Analysis in Statistics

›
 

Infographic Note with questions and answers on the concepts of MinMaxScaler function , Standard Scaler Function , Normalisation , Standardisation in Statistical Analysis

›
 

Infographic Note on Correlation Analysis using corr() function over a Pandas dataframe in Python

›
 

Infographic Note on Correlation Analysis of numerical attributes of a Pandas Dataframe in Python

›
 

Infographic Note on Python Code Analysis of a Sample Outliers Detection function over a numerical attribute in a pandas dataframe

›
 

Infographic Note on Outliers Detection , finding Inter-Quartile ranges and Interpreting Box-Plot diagrams over Pandas Dataframe in Python

›
 

Infographic Note on steps to perform Count , filter , group and aggregate numerical values over a dataset using Numpy and Pandas in Python using Jupyter Notebook IDE

›
 

Infographic Note on steps to formulate and perform a Hypothesis Test using Numpy , Pandas and Scipy Libraries of Python

›
 
Friday, July 9, 2021

Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers

›
 

An Infographic Note Steps to follow for Installation of Pytorch Software over Jupyter Notebook

›
 

Infographic Note on difference between Pytorch and Tensorflow with respect to their features and provisions

›
 
Thursday, July 8, 2021

Infographic Note on Numpy Arrays in Python with Questions and Answers on procedure to handle random numbers in an Array or Matrix Data Structure

›
  Discussed the following questions in the above post : Q1)If a programmer does not know the last number or position , then how can a  progr...

Infographic Note on Numpy Arrays in Python with Questions and Answers on Random Numeric Data Creation and Data Retrieval upon positional indexes

›
  Discussed the following questions in the above post : Q1) Give an example of SEED function and how to use it . Q2) What is One-Dimensional...