Python Machine Learning for Beginners: A Step-by-Step Guide to AI & ML | Build 10 Real-World Projects | scikit-learn

Python Machine Learning for Beginners: A Step-by-Step Guide to AI & ML Build 10 Real-World Projects scikit-learn, TensorFlow & PyTorch

Unlock the power of Artificial Intelligence and Machine Learning with Python! Whether you're starting from scratch or looking to deepen your understanding of AI, Python Machine Learning for Beginners is the ultimate guide to mastering the fundamentals of ML.

10 Real-World Projects: Get hands-on experience by building practical applications, including stock price prediction, building a chatbot, and even detecting fake news.
Step-by-Step Guidance: No prior experience in machine learning or coding? No problem! This book guides you through every concept, starting with the basics of Python programming to more advanced techniques in scikit-learn, TensorFlow, and PyTorch.
Master Popular ML Frameworks: Learn how to work with scikit-learn for classical machine learning, TensorFlow for deep learning, and PyTorch for dynamic neural networks.
Data Science Skills: Gain proficiency in data preprocessing, feature scaling, model evaluation, and more—skills that are highly sought after in the tech industry.
Practical and Accessible: With clear explanations, visual aids, and hands-on projects, this book makes learning complex machine learning techniques approachable, even for absolute beginners.
By the end of this book, you will not only have a solid understanding of machine learning but also a portfolio of practical projects you can showcase to employers or clients. Start building smarter applications today and prepare yourself for the rapidly growing field of AI and data science.