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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.

Related Posts How to write multiple IF-conditions in Python Simplified

Python: Do While Loop Real Examples

While it is one of the loops in Python. The specialty is it never be false. You already know that in my previous post I have shared For Loop in Python. The for loop can be false.



Python: Do While Loop Real Examples

I am giving here one best example:

       
print("Help! My computer doesn't work!")
while True:
print("Does the computer make any sounds (fans, etc.)")
choice = input(" or show any lights? (y/n):")
       

In the above logic, while is always true. When in input user can give 'Y/N'.


       
if choice == 'n': # The computer does not have power
    print (" Do not show lights")
if choice == 'y': # It is power plugged in
   print ("show lights")
       
So, while is always true. Based on input the while loop works. Python is having the below list of Keywords.



Pythons Reserved Words

The Python reserved words are: and, exec, not, assert, finally, or, break, for, pass, class, form, print, continue, global, raise, def, if, return, del, import, try, elif, in, while, else, is, with, except, lambda, and yield.


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