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Data Science Projects with Python

You're reading from   Data Science Projects with Python A case study approach to gaining valuable insights from real data with machine learning

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Product type Paperback
Published in Jul 2021
Publisher Packt
ISBN-13 9781800564480
Length 432 pages
Edition 2nd Edition
Languages
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Author (1):
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Stephen Klosterman Stephen Klosterman
Author Profile Icon Stephen Klosterman
Stephen Klosterman
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Table of Contents (9) Chapters Close

Preface
1. Data Exploration and Cleaning 2. Introduction to Scikit-Learn and Model Evaluation FREE CHAPTER 3. Details of Logistic Regression and Feature Exploration 4. The Bias-Variance Trade-Off 5. Decision Trees and Random Forests 6. Gradient Boosting, XGBoost, and SHAP Values 7. Test Set Analysis, Financial Insights, and Delivery to the Client Appendix

Python and the Anaconda Package Management System

In this book, we will use the Python programming language. Python is a top language for data science and is one of the fastest-growing programming languages. A commonly cited reason for Python's popularity is that it is easy to learn. If you have Python experience, that's great; however, if you have experience with other languages, such as C, Matlab, or R, you shouldn't have much trouble using Python. You should be familiar with the general constructs of computer programming to get the most out of this book. Examples of such constructs are for loops and if statements that guide the control flow of a program. No matter what language you have used, you are likely familiar with these constructs, which you will also find in Python.

A key feature of Python that is different from some other languages is that it is zero-indexed; in other words, the first element of an ordered collection has an index of 0. Python also...

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