Python: Libraries You Need to Create ML Model
To Create a Model of Machine Learning in Python, you need TWO libraries. One is 'NUMPY' and the other one is 'PANDAS'.
2: PANDAS- It has the capabilities of Data processing.
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
References
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. The key steps are Data Analysis and Data Preprocessing.
Command to Install Machine Learning Libraries in Python
import numpy as np # linear algebraimport pandas 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 the 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.
- Raw data
- Evaluate-data
How to Build a Model Flowchart
I have given a flowchart to build a model along with sample data.References
Big data solutions developer should understand the need of Data, and they should work to build more appropriate services to meet the requirements of their clients.
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