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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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Play with Python Regular Expressions Like Tennis

Regular Expressions are something like to find a matching string in another string. You will get either 'True' or 'False' as a response.


Play tennis
I am not sharing here how to play tennis. My intention is if you just follow ideas, you can play tennis today.

Python Regular Expressions

  1. What is a regular expression
  2. How does python support
  3. Best examples

Let us start - What is Regular Expression.

>>> haystack = 'My phone number is 213-867-5309.' 
>>> '213-867-5309' in haystack 
True


This is just a fundamental use of the regular expression. The real use of Regular Expression comes here. That is - to find if the main has any valid phone number.

Regular expressions also called regexes.

Two Main Reasons Why We use Regular Expressions

  1. Data mining - to get required data if it is present are not
  2. Data validations - to get an answer if the received string is valid or not.

How Python Supports

Python has its own regular expression library. That is called re. What you need to do is just import it.

>>>import re

How Python responds when data matches and not matches.
  1. If match found it returns the String
  2. If there is no match it does return null
Best Example for Regular Expression

>>> import re 
>>> re.search(r'fox', 'The quick brown fox jumped...') 
<_sre.SRE_Match object; span=(16, 19), match='fox'>

Notes: The returned string is 'fox'.

How to Use the group to Get matching String

>>> match = re.search(r'fox', 'The quick brown fox jumped...') 
>>> match.group() 'fox'

Notes: The returned string is 'fox'.

How to get multiple Matches

>>> import re >>> re.findall(r'o', 'The quick brown fox jumped...') 
['o', 'o']

Notes: It returns multiple strings.

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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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