data science

1
Data Analysing Process

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  s/data-science-training-in-bangalore

2
Data Analysing Process

• Data preparation and data analysis do not need to
  be painful.
• Automate the data cleansing process and prepare
  the data quickly and easily.
• Provide your organization and take the longest
  work out of the hands of your analysts so they
  can do the most important work for your
  organization.
• Automating the data preparation process and
  opening the BI tools for your business.

3
Data Analysing Process

• If you look at the data management market, you
  will probably be overburdened with the diversity
  of current technologies.
• Collecting, processing and analyzing data is one
  of the crucial factors for the competitiveness of
  a company.
• Do not believe in the fallacy that the increasing
  power of hardware will repair your current.

4
Data Analysing Process

• Logistic Regression is one of the most used
  machine learning algorithms for binary
  classification.
• In this post, you will learn what Logistic
  Regression is and how it works.
• You can have a solid understanding of its
  advantages and disadvantages and know when it can
  be used. In addition, you can discover ways to
  use Logistic. Use integrated advanced processors

5
Data Analysing Process

• Access a rich library of built-in processors
• word processing
• date processing
• geographic data
• Validation and URL processing, email, JSON, IP
  address
• country codes, currency conversion
• Excel type formulas
• Many others ...
• Use Python formulas and macros for custom
  processing
• Create your own custom types, specific to your
  business needs, for verification and data quality
  processing.