The Python Feature Engineering Cookbook, Third Edition, is a complete guide for learning the fundamental part of data science. With a limited-time offer that makes this excellent resource free, now is the ideal moment to get in and improve your machine-learning skills.
Contents
About Python Feature Engineering Cookbook:
In the ever-changing field of machine learning and data science, the skill of feature engineering remains a critical pillar for developing strong and accurate models. For anyone looking to improve their skills in this field, the Python Feature Engineering Cookbook, Third Edition is a fantastic reference.
What’s Inside: 70+ Recipes for Machine Learning Success
Feature engineering, which involves changing variables and constructing features, is a time-consuming procedure, but it guarantees that your machine-learning models will work effectively.
With over 70 recipes, this ebook is a treasure trove that will teach you how to build effective machine-learning models by helping you create, engineer, and convert features.
Continuing the tradition of its predecessors, this new edition continues the work of the esteemed Soledad Galli and includes a foreword by Christoph Molnar. It teaches readers how to use Python for feature engineering in a practical, hands-on way.
From missing data imputation and categorical encoding to variable transformation, scaling, discretization, and handling outliers, this ebook covers nearly every element of feature engineering for tabular data. Part two delves into feature extraction from relational, text, time series, and date/time datasets.
With the use of open-source Python modules and a plethora of practical, hands-on recipes, this book will simplify feature engineering and speed up the process.
Using Pandas and Scikit-learn, you will manipulate factors and create new ones as instructed in the book. You will also learn how to use four powerful open-source libraries for feature engineering: feature-engine, category encoders, featuretools, and tsfresh.
There are also more recipes in this book than in the second version. These include filling in lost data in time series, using decision trees to make new features, and using the median absolute deviation to find outliers. The ebook also gives you a tip to help you choose which transformations to use based on the features of your model and data. You’ll know what to change, why, and how for each feature.
Perfect for Both Beginners and Experienced Practitioners
The “Python Feature Engineering Cookbook” is a useful resource for everyone interested in data science, from beginners to seasoned pros seeking to hone their craft. Thanks to the detailed explanations and easy-to-follow directions, even the most seasoned professionals will grasp the material and put it to beneficial use.
Limited-Time Offer: Grab Your Copy Now!
TradePub, in collaboration with the publisher “Packt,” is providing a limited-time free download of the $39.99 Python Feature Engineering Cookbook, Third Edition ebook.
To grab your free copy, visit this giveaway page: https://www.tradepub.com/free/
Click “Download” after entering your email address to get your copy. The email that confirms your purchase contains your complimentary copy. The expiration date of this offer is November 20, 2024.
Note: Sign up for an account if this is your first time using TradePub. New users can sign up with TradePub at no cost.
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