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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…

Testing in DevOps to maximize Quality

Testing is the critical phase in DevOps. The process of DevOps is to speed up the deployment process. That means there are no shortcuts in testing. Covering most relevant test cases is the main thing the tester has to focus.
DevOps Testing

Requirements to Maximize Quality

  1. Good maintainable code
  2. Exhaustive coverage of cases
  3. Training documents to Operations team
  4. Fewer bugs in the bug tracker
  5. Less complex and no redundant code

Testing Activities in DevOps

    • The team to use Tools to check the quality of code
    • Style checker helps to correct code style
    • Good design avoids bugs in production
    • Code performance depends on the code-quality
    • Bugs in production say poor testing 

    Tester Roles in DevOps

    1. Good quality means zero bugs in production.
    2. Design requirements a base to validate testing results.
    3. Automated test scripts give quick feedback on the quality of code.
    4. Right test cases cover all the functional changes.

    The Bottom Line

    • The DevOps approach is seamless integration between Development and Operations without compromising the Quality.
    • Use test cases in a way to test all possible scenarios.
    • Automate the tasks wherever possible to get the quick reply on quality of source code.

    References

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