(Python Example for Beginners)
Write a Pandas program to convert a given Series to an array.
Sample Solution :
Python Code :
import pandas as pd import numpy as np s1 = pd.Series(['100', '200', 'python', '300.12', '400']) print("Original Data Series:") print(s1) print("Series to an array") a = np.array(s1.values.tolist()) print (a)
Original Data Series: 0 100 1 200 2 python 3 300.12 4 400 dtype: object Series to an array ['100' '200' 'python' '300.12' '400']
Pandas Example – Write a Pandas program to convert a given Series to an array
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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