Now, a leader of Northwestern University's prestigious analytics program presents a fully-integrated treatment of both the business and academic elements …
Learn how to apply the principles of machine learning to time series modeling with this indispensable resource Machine Learning for …
This textbook presents methods and techniques for time series analysis and forecasting and shows how to use Python to implement …
Data Science students and practitioners want to find a forecast that “works” and don’t want to be constrained to a …
"This fourth edition is focused on the development and implementation of statistically motivated, data-driven techniques through a tight interweaving of …
p>If you thought data structures and algorithms were all just theory, you're missing out on what they can do for …
An advanced guide to creating powerful high-performance GUIs for modern, media-rich applications in various domains such as business and game …
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Unlock the potential of microservices architecture and master the art of building scalable and resilient web applications using Django Key …
Build your very own app-store-ready, multi-touch games and applications with Kivy! About This BookLearn how to create simple to complex …
Start building Python-based Android applications using Kivy with Android Studio. Through in-depth examples, this book teaches you everything you need …
Implement different testing techniques using Selenium WebDriver with the Python programming language. This quick reference provides simple functional test cases …
This book is a beginner’s guide to automation testing using Python and Selenium WebDriver. I have explained all the topics …
Learn the fundamentals of data science with Python by analyzing real datasets and solving problems using pandasKey FeaturesLearn how to …
Learn how to identify the unusual, interesting, extreme, or inaccurate parts of your data. Data scientists have two main tasks: …
Extract accurate information from data to train and improve machine learning models using NumPy, SciPy, pandas, and scikit-learn libraries Key …
Streamline data preprocessing and feature engineering in your machine learning project with this third edition of the Python Feature Engineering …
Discover the practical aspects of implementing deep-learning solutions using the rich Python ecosystem. This book bridges the gap between the …
Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to …
The Practical, Step-by-Step Guide to Using LLMs at Scale in Projects and Products Large Language Models (LLMs) like ChatGPT are …
Unlock the Power of Text Analysis and Machine Learning with "Natural Language Processing with Python" In a world awash with …
Future-proof your programming career through practical projects designed to grasp the intricacies of LangChain's components, from core chains to advanced …
This book offers Python programmers one place to look when they need help remembering or deciphering the syntax of this …
This book offers Python programmers one place to look when they needhelp remembering or deciphering the syntax of this open …
Useful in many roles, from design and prototyping to testing, deployment, and maintenance, Python is consistently ranked among today’s most …
Ask any Python aficionado and you'll hear that Python programmers have it all: an elegant language that offers object-oriented programming …
Python was recently ranked as today's most popular programming language on the TIOBE index, thanks to its broad applicability to …
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The Python Cookbook is a collection of problems, solutions, and practical examples for Python programmers, written by Python programmers. The …
This book is in need of an update for Python 2.6/3.0 syntax. It covers the "new" Python 2.4. I bought …