Showing posts with label summary. Show all posts
Showing posts with label summary. 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


 

Friday, July 9, 2021

Infographic Note on Introduction to Machine Learning using PyTorch with sample questions and answers on related concepts - part 02

 


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 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 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 indexing ?

Q3) Print first , last position elements of a Numpy Array

Q4) Print seond , third position elements of a Numpy Array

Q5) How to identify last number of 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

Tuesday, July 6, 2021

An Infographic Note on Strip() Function over a Complex String in Python with syntax , usage and examples

 


An Infographic Note on RStrip() Function in Python with syntax , usage and examples

 


An Infographic Note on LStrip() Function in Python with syntax , usage and examples

 


An Infographic Note on LStrip() Function in Python with syntax , usage and examples

 


An Infographic Note on Strip() Function in Python with syntax , usage and examples