Название: Machine Learning with Python: Master Pandas, Scikit-learn, and TensorFlow for Building Smart IA ModelsАвтор: Joseph T. Handy
Издательство: Independently published
Год: 2024
Страниц: 107
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.1 MB
Machine Learning is revolutionizing the world, and Python is the language of choice for its development. This book equips you with the essential tools - Pandas, Scikit-learn, and TensorFlow - to build and deploy intelligent applications. Written by seasoned practitioners, this book combines clear explanations with practical exercises, helping you gain hands-on experience and build real-world skills.
This book, "Machine Learning with Python: Master Pandas, Scikit-learn, and TensorFlow for building Smart AI Models," is your passport to this thrilling world. Through an exciting journey filled with practical exercises, real-world examples, and a dash of humour, you'll not just understand the fundamentals of ML, but also become proficient in using powerful Python libraries like Pandas, Scikit-learn, and TensorFlow to build your own intelligent systems. No prior coding experiences? No worries! We'll walk you through the necessary Python basics, ensuring you have a solid foundation before diving into the heart of ML. So, what are you waiting for? Buckle up, grab your favourite coding buddy (or just grab a cup of coffee!), and get ready to unleash the power of machine learning! In the first chapter, we'll unveil the fascinating world of ML, exploring its various applications and why Python reigns supreme in this domain. We'll also set up your learning environment, so you can start coding right away. See you there!
Summary of the Book:
Master data manipulation and analysis with Pandas, the workhorse for Data Science in Python.
Leverage Scikit-learn, a powerful library for building a variety of Machine Learning models, from classification to regression and clustering.
Delve into TensorFlow, a leading framework for Deep Learning, enabling you to create sophisticated neural networks for complex tasks.
What's Inside:
Explore core Machine Learning concepts in an engaging and accessible manner.
Implement algorithms for image recognition, text analysis, and natural language processing.
Fine-tune your models for optimal performance and gain valuable insights from data.
Deploy your models into production environments to make a real-world impact.
Navigate the ever-evolving machine-learning landscape with confidence.
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