(Python Example for Beginners)
Write a Pandas program to create a new DataFrame based on existing series, using specified argument and override the existing columns names.
Python Code :
import pandas as pd s1 = pd.Series([0, 1, 2, 3], name='col1') s2 = pd.Series([0, 1, 2, 3]) s3 = pd.Series([0, 1, 4, 5], name='col3') df = pd.concat([s1, s2, s3], axis=1, keys=['column1', 'column2', 'column3']) print(df)
column1 column2 column3 0 0 0 0 1 1 1 1 2 2 2 4 3 3 3 5
Pandas Example – Write a Pandas program to create a new DataFrame based on existing series, using specified argument and override the existing columns names
Two Machine Learning Fields
There are two sides to machine learning:
- Practical Machine Learning:This is about querying databases, cleaning data, writing scripts to transform data and gluing algorithm and libraries together and writing custom code to squeeze reliable answers from data to satisfy difficult and ill defined questions. It’s the mess of reality.
- Theoretical Machine Learning: This is about math and abstraction and idealized scenarios and limits and beauty and informing what is possible. It is a whole lot neater and cleaner and removed from the mess of reality.
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