Python Feature Engineering Cookbook Available for Free | Free Download

Python Feature Engineering CookbookThe third edition is a complete guide to learning the basics of data science. With a limited-time offer that makes this excellent resource free, now is the ideal time to get involved and improve your machine-learning skills.

About Python Feature Engineering Cookbook:

In the ever-changing field of machine learning And the skill of data science, feature engineering remains an important pillar to develop robust and accurate models. For anyone looking to improve their skills in this area, the Python Feature Engineering Cookbook, 3rd Edition is a great reference.

What's Inside: 70+ Recipes for Machine Learning Success

Feature engineering, which involves changing variables and creating features, is a time-consuming process, but it guarantees that your machine-learning models will work effectively.

With over 70 recipes, it e-book There is a treasure trove that will teach you how to build effective machine-learning models by helping you create, engineer, and transform features.

Continuing the tradition of its predecessors, this new edition continues the work of the esteemed Soledad Galli and includes a preface by Krzysztof Molnár. It teaches readers how to use Python for feature engineering in a practical, practical way.

From missing data imputation and hierarchical encoding to variable transformations, scaling, discretization, and handling outliers, this ebook covers almost every element of feature engineering for tabular data. Part two highlights feature extraction from relational, text, time series and date/time datasets.

With the use of open-source Python With modules and lots 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 factors according to the instructions in the book. You'll also learn how to use four powerful open-source libraries for feature engineering: Feature-Engine, Category Encoder, FeatureTools, and TSFresh.

This book also has more recipes than the second edition. These include filling in missing data in a time series, using decision trees to create new features, and using the mean absolute deviation to find outliers. The eBook also gives a tip to help you choose which transformations to use based on the characteristics of your model and data. You will know what, why and how to change for each feature.

Perfect for both beginners and experienced practitioners

The “Python Feature Engineering Cookbook” is a useful resource for anyone interested data scienceFrom beginners to experienced professionals who are trying to hone their craft. Thanks to detailed explanations and easy-to-follow instructions, even the most experienced professionals will understand the material and put it to beneficial use.

Limited Time Offer: Get Your Copy Now!

TradePub, in collaboration with publisher “Pact”, is offering a free download of the $39.99 Python Feature Engineering Cookbook, 3rd Edition eBook for a limited time.

To get your free copy, visit this free page: https://www.tradepub.com/free/

Click “Download” after entering your email address to receive your copy. Your complimentary copy is included in the email confirming your purchase. The expiry date of this offer is November 20, 2024.

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