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Data Science Projects with Python

You're reading from Data Science Projects with Python A case study approach to successful data science projects using Python, pandas, and scikit-learn

Product type Paperback

Published in Apr 2019

Publisher Packt

ISBN-13 9781838551025

Length 374 pages

Edition 1st Edition

Languages

Python

Tools

NumPy

Concepts

Data Science

Author (1):

Stephen Klosterman

View More author details

Table of Contents (9) Chapters

Data Science Projects with Python

Preface

1. Data Exploration and Cleaning FREE CHAPTER

2. Introduction toScikit-Learn and Model Evaluation

3. Details of Logistic Regression and Feature Exploration

4. The Bias-Variance Trade-off

5. Decision Trees and Random Forests

6. Imputation of Missing Data, Financial Analysis, and Delivery to Client

Appendix

Appendix A. Appendix

Note

About

This section is included to assist the students to perform the activities in the book. It includes detailed steps that are to be performed by the students to achieve the objectives of the activities.

The rest of the chapter is locked

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Authors (1)

Stephen Klosterman

Stephen Klosterman

Stephen Klosterman is a Machine Learning Data Scientist with a background in math, environmental science, and ecology. His education includes a Ph.D. in Biology from Harvard University, where he was an assistant teacher of the Data Science course. His professional experience includes work in the environmental, health care, and financial sectors. At work, he likes to research and develop machine learning solutions that create value, and that stakeholders understand. In his spare time, he enjoys running, biking, paddleboarding, and music.

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