2 Top Python Libraries 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 Top Libraries You Need

To Build a model of Machine learning you need the right kind of data. So, use the data for your project should be refined. Else, it will not produce correct results. The prime steps are Data Analysis and Data Preprocessing.

1. NUMPY - It has the capabilities of Calculations.
2. PANDAS- It has the capabilities of Data processing.

How Install Python Machine Learning Libraries 

import NumPy as np # linear algebra
import 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 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.

1. Raw data
   
2. Evaluate-data

How to Build a Model Flowchart

I have given a flowchart to build a model along with sample data.

References

1. Sample ML Model Project using Python