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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
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3 Top Books Every Analytics Engineer to Read

Many of the analytics jobs nowadays are for the financial domain. The top financial domains are Banking, Payments, and credit cards. 

The Best Books are on:

  1. SAS
  2. UNIX
  3. Python


The skills you need to work in data analytics are SAS, UNIX, Python, and JavaScript.  I have selected three books for beginners of data analysts. 


3 Top Books Every Analytics Engineer to Read

1. SAS best book 


I found one best book that is little SAS. This post covers almost all examples and critical macros you need for your job.

The best-selling Little SAS Book just got even better. Readers worldwide study this easy-to-follow book to help them learn the basics of SAS programming.

Now Rebecca Ottesen has teamed up with the original authors, Lora Delwiche, and Susan Slaughter, to provide a new way to challenge and improve your SAS skills through thought-provoking questions, exercises, and projects.

2. UNIX best book


The basic commands you will get everywhere. The way of executing Macros or shell scripts is really you need. This is a good book so that you can automate the tasks.

3. Python best book 


Python is a popular language and highly in demand for data analysis jobs. Python Core programming skills are highly needed.


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Python IF Statements Multiple Conditions Examples

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I shared how to write multiple if conditions (statements) in Python. These are the best examples useful for interviews and projects.
Many programmers confuse how to write IF conditions in Python. The below examples act as a handy guide for beginners and experienced.
Python IF Statements the Best Examples
IF, IFIF 'ELSE'IF 'or'IF 'and'Nested IFIF 'continue'IF 'break'
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Best Machine Learning Book for Beginners

Image
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
Read more