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Python for Data science Series 1 - Bazilabanu A,Dhivya P

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2020-12-30
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Data science is a process which is used to extract the knowledge from massive amount of data. The data may be structured, unstructured, machine language based, graphs, audio, video, image and streaming data. Data science is introduced to perform the statistics, data analysis in order to understand and analyses the data to get maximum insight from that. Structured data is information that relies upon an info ... Visas aprašymas

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Data science is a process which is used to extract the knowledge from massive amount of data. The data may be structured, unstructured, machine language based, graphs, audio, video, image and streaming data. Data science is introduced to perform the statistics, data analysis in order to understand and analyses the data to get maximum insight from that. Structured data is information that relies upon an information model and dwells in a fixed field inside a record. In that capacity, it's simple to store organized information in tables inside data sets or Excel documents. SQL, or Structured Query Language, is the favoured method to oversee and get the information in the table. In the unstructured data, the information not in the rows and columns. It has the information that is not easily fit into the data model for processing that.

Daugiau informacijos

Autorius Bazilabanu A, Dhivya P
Leidėjas LAP LAMBERT Academic Publishing
Išleidimo metai 2020
Viršelio tipas Minkšti viršeliai
EAN 9786203199307
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59,27 € 79,02 €