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Python: Real-World Data Science

You're reading from   Python: Real-World Data Science Real-World Data Science

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Product type Course
Published in Jun 2016
Publisher
ISBN-13 9781786465160
Length 1255 pages
Edition 1st Edition
Languages
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Authors (5):
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Fabrizio Romano Fabrizio Romano
Author Profile Icon Fabrizio Romano
Fabrizio Romano
Phuong Vo.T.H Phuong Vo.T.H
Author Profile Icon Phuong Vo.T.H
Phuong Vo.T.H
Robert Layton Robert Layton
Author Profile Icon Robert Layton
Robert Layton
Sebastian Raschka Sebastian Raschka
Author Profile Icon Sebastian Raschka
Sebastian Raschka
Martin Czygan Martin Czygan
Author Profile Icon Martin Czygan
Martin Czygan
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Toc

Table of Contents (12) Chapters Close

Table of Contents FREE CHAPTER
Python: Real-World Data Science
Meet Your Course Guide
What's so cool about Data Science?
Course Structure
Course Journey
The Course Roadmap and Timeline
1. Course Module 1: Python Fundamentals 2. Course Module 2: Data Analysis 3. Course Module 3: Data Mining 4. Course Module 4: Machine Learning Index

Appendix A. Reflect and Test Yourself! Answers

Module 2: Data Analysis

Chapter 1: Introducing Data Analysis and Libraries

Q1

3

Q2

1

Q3

2

Chapter 2: Object-oriented Design

Q1

5

Q2

2

Q3

1

Q4

3

Chapter 3: Data Analysis with pandas

Q1

1

Q2

2

Q3

3

Q4

1

Q5

3

Chapter 4: Data Visualization

Q1

2

Q2

4

Q3

2

Q4

1

Chapter 5: Time Series

Q1

3

Q2

2

Q3

3

Q4

2

Chapter 6: Interacting with Databases

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3

Q2

4

Q3

2

Chapter 7: Data Analysis Application Examples

Q1

1

Q2

2

Module 3: Data Mining

Chapter 1: Getting Started with Data Mining

Q1

2

Q2

1

Q3

4

Chapter 2: Classifying with scikit-learn Estimators

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3

Q2

2

Q3

2

Q4

3

Chapter 3: Predicting Sports Winners with Decision Trees

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2

Q2

1

Chapter 4: Recommending Movies Using Affinity Analysis

Q1

4

Chapter 5: Extracting Features with Transformers

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2

Q2

3

Q3

3

Chapter 6: Social Media Insight Using Naive Bayes

Q1

2

Q2

2

Chapter 7: Discovering Accounts to Follow Using Graph Mining

Q1

...
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