(Python Example for Beginners)
Write a Pandas program to create a time-series with two index labels and random values. Also print the type of the index.
Python Code :
import pandas as pd import numpy as np import datetime from datetime import datetime, date dates = [datetime(2011, 9, 1), datetime(2011, 9, 2)] print("Time-series with two index labels:") time_series = pd.Series(np.random.randn(2), dates) print(time_series) print("nType of the index:") print(type(time_series.index))
Time-series with two index labels: 2011-09-01 -0.257567 2011-09-02 0.947341 dtype: float64 Type of the index: <class 'pandas.core.indexes.datetimes.DatetimeIndex'>
Python Example for Beginners
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.
Data Science Resources: Data Science Recipes and Applied Machine Learning Recipes
Introduction to Applied Machine Learning & Data Science for Beginners, Business Analysts, Students, Researchers and Freelancers with Python & R Codes @ Western Australian Center for Applied Machine Learning & Data Science (WACAMLDS) !!!
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