Book Image

Data Science Algorithms in a Week

By : Dávid Natingga
Book Image

Data Science Algorithms in a Week

By: Dávid Natingga

Overview of this book

<p>Machine learning applications are highly automated and self-modifying, and they continue to improve over time with minimal human intervention as they learn with more data. To address the complex nature of various real-world data problems, specialized machine learning algorithms have been developed that solve these problems perfectly. Data science helps you gain new knowledge from existing data through algorithmic and statistical analysis.</p> <p>This book will address the problems related to accurate and efficient data classification and prediction. Over the course of 7 days, you will be introduced to seven algorithms, along with exercises that will help you learn different aspects of machine learning. You will see how to pre-cluster your data to optimize and classify it for large datasets. You will then find out how to predict data based on the existing trends in your datasets.</p> <p>This book covers algorithms such as: k-Nearest Neighbors, Naive Bayes, Decision Trees, Random Forest, k-Means, Regression, and Time-series. On completion of the book, you will understand which machine learning algorithm to pick for clustering, classification, or regression and which is best suited for your problem.</p>
Table of Contents (12 chapters)
11
Glossary of Algorithms and Methods in Data Science

Flow control

Conditionals, We can make certain amount of the code to be executed only upon a certain condition met using the if statement. If the condition is not met, then we can execute the code following the else statement. If the first condition is not met, we can set the next condition for the code to be executed using the elif statement.

Input:

# source_code/appendix_c_python/example09_if_else_elif.py
x = 10
if x == 10:
        print 'The variable x is equal to 10.'

if x > 20:
        print 'The variable x is greater than 20.'
else:
        print 'The variable x is not greater than 20.'

if x > 10:
        print 'The variable x is greater than 10.'
elif x > 5:
        print 'The variable x is not greater than 10, but greater ' +
'than 5.' else: print 'The variable x is not greater...