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Best Machine Learning Book for Beginners

You need a mixof different technologies for Data Science projects. Instead of learning many skills, just learn a few. The four main steps of any project are extracting the data, model development, artificial intelligence, and presentation. Attending interviews with many skills is not so easy. So keep the skills short.
A person with many skills can't perform all the work. You had better learn a few skills like Python, MATLAB, Tableau, and RDBMS. So that you can get a job quickly in the data-science project.
Out of Data Science skills, Machine learning is a new concept. Why because you can learn Python, like any other language. Tableau also the same. Here is the area that needs your 60% effort is Machine learning.  Machine Learning best book to start.

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Python Improved Logic to Calculate Factorial

I am practicing Python programming. In this post, I have explained logic to calculate the factorial using a function. This function you can call it a user-defined function. The name of the function is factorial.py.
In real-time, you can write a program in a file and run it in python console. The main task of a developer is to create functions for the reusable code. They call these functions whenever they need.
Factorial calculation program for supplied input value.
 Python logic easy way to calculate factorial using user defined function. Useful for your project.

Factorial Logic in Python. I have completed this logic in 3 steps.

  1. Write factorial.py
  2. Import
  3. Execute it

Write Factorial.py 

Here you need to define a function. Use 2 for loops, and write your logic. This is done on LInux operating system. You can also try on Linux.

factorial.py
After, ESC command
Use, :wq to come out of the module.

Import Factorial.py

Go to Python console, using 'python' command. Use import factorial.py command.

import function

Execute Factorial.py 

>>> factorial.fact(5)
It will show the result of factorial.
factorial result

Bottom line

 Factorial of 5 = 1x2x3x4x5= 120

References

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