Showing posts with label python. Show all posts
Showing posts with label python. Show all posts

Monday, July 12, 2021

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


 

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 programmer show the last position element of an array in Numpy ?

Q2) Using Slicing mechanism , retrieve the first two elements of the numpy array ?

Q3) Using Slicing mechanism , retrieve the last two elements of the numpy array ?

Infographic Note on Numpy Arrays in Python with Questions and Answers on Array and Matrix Creation and Data Retrieval

 


Q1) Print range between 1 to 20 and show 5 integer random numbers

Q2) Print range between 1 to 100 and show 10 random integer numbers

Q3) Print range between 1 to 1000 and show 20 random integer numbers

Q4) Print a matrix with range between random number - 5 rows and 5 cols integer random numbers

Q5) Print a matrix range between random number - 10 rows and 6 cols integer random numbers in a             matrix format

Sunday, June 27, 2021

Infographic Conceptual Note on Features of Python Programming Language - Short Summary for Interview Questions


 

Infographic Note on Types of Neural Networks in Machine Learning | Short Summary for Interview Questions


 

Abstract Classes in Python and their Methods | Infographic Summary Note for Interview Questions

 


Infographic Note on Neural Networks in Machine Learning | Short Summary for Interview Questions


 

Infographic Note with questions and answers related to Python OverRiding and OverRidden Methods - Short Summary for Interview Questions

 


Infographic Note with questions and answers related to Python Classes and Objects - Short Summary for Interview Questions