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Python Top Libraries You Need to Create ML Model

Creating a Model of Machine Learning in Python, you need two libraries. One is 'NUMPY' and the other one is 'PANDA'.


For this project, we are using Python Libraries to Create a Model.
What Are Key Libraries You Need I have explained in the below steps. You need Two.
NUMPY - It has the capabilities of CalculationsPANDA - It has the capabilities of Data processing. To Build a model of Machine learning you need the right kind of data. So, to use data for your project, the Data should be refined. Else, it will not give accurate results. Data AnalysisData Pre-processing How to Import Libraries in Pythonimportnumpy as np # linear algebra
importpandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

How to Check NUMPY/Pandas installed After '.' you need to give double underscore on both the sides of version. 
How Many Types of Data You Need You need two types of data. One is data to build a model and the other one is data you need to test the model. Data to build…

Data lake Repository You Need to Know About it

In DataLake data stored internally in a repository. You can say this format as a blob. The data in DataLake does not have a particular Schema or Format.

data lake repository  example
Photo Credit: Srini

SQL Database

  • Let us take a traditional database, here, a database design and Scheme are to be defined before you enter data. In data-lake, there is no format for this. It is like a dump. 
  • This dump you can send to Hadoop repository for data analysis. This repository can be incremental. Also, you can build a large database.

Data lake Vs Hadoop

Data-Lake is a dump of data with no format. There are many pre-formats required before it sends for analytics. One is data security and encryption. These techniques to be done before you send your data to Hadoop repository.

In real-time, Hadoop data analytics need lot other pre-processing of data required to proceed further.

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Though Ethereum leads in the real-time applications. The latest Hyperledger version is now ready for production applications. It has now become stable for production applications.
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2). What are the three different types of Nodes?
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3). What is Channel?
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