Book Image

Python Data Science Essentials - Third Edition

By : Alberto Boschetti, Luca Massaron
Book Image

Python Data Science Essentials - Third Edition

By: Alberto Boschetti, Luca Massaron

Overview of this book

Fully expanded and upgraded, the latest edition of Python Data Science Essentials will help you succeed in data science operations using the most common Python libraries. This book offers up-to-date insight into the core of Python, including the latest versions of the Jupyter Notebook, NumPy, pandas, and scikit-learn. The book covers detailed examples and large hybrid datasets to help you grasp essential statistical techniques for data collection, data munging and analysis, visualization, and reporting activities. You will also gain an understanding of advanced data science topics such as machine learning algorithms, distributed computing, tuning predictive models, and natural language processing. Furthermore, You’ll also be introduced to deep learning and gradient boosting solutions such as XGBoost, LightGBM, and CatBoost. By the end of the book, you will have gained a complete overview of the principal machine learning algorithms, graph analysis techniques, and all the visualization and deployment instruments that make it easier to present your results to an audience of both data science experts and business users
Table of Contents (11 chapters)

Strengthen Your Python Foundations

The code examples that are provided along with these chapters don't require you to master Python. However, they will assume that you've previously obtained a working knowledge of at least the basics of Python scripting. They will also assume, in particular, that you know about data structures, such as lists and dictionaries, and that you have an idea about how to make class objects work.

If you don't feel confident about the aforementioned subject or have minimal knowledge of the Python language, we suggest that before you start reading this book, you should take an online tutorial, such as the Code Academy course at http://www.codecademy.com/en/tracks/python, Google's Python class at https://developers.google.com/edu/python/, or the course offered by Kaggle at https://www.kaggle.com/learn/python. All the courses are free...