(Python Example for Beginners)
Write a Pandas program to convert a NumPy array to a Pandas series.
Sample NumPy array: d1 = [10, 20, 30, 40, 50]
Sample Solution :
Python Code :
import numpy as np import pandas as pd np_array = np.array([10, 20, 30, 40, 50]) print("NumPy array:") print(np_array) new_series = pd.Series(np_array) print("Converted Pandas series:") print(new_series)
NumPy array: [10 20 30 40 50] Converted Pandas series: 0 10 1 20 2 30 3 40 4 50 dtype: int64
Pandas Example – Write a Pandas program to convert a NumPy array to a Pandas series
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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