Python Machine Learning for Beginners: Learning from scratch NumPy, Pandas, Matplotlib, Seaborn, Scikitlearn, and TensorFlow for Machine Learning and

Více o knize

Machine Learning (ML) and Artificial Intelligence (AI) are integral to various industries today, driving significant business results across healthcare, e-commerce, government, transportation, social media, financial services, manufacturing, and more. As ML continues to evolve, the role of a Machine Learning professional becomes crucial, focusing on developing intelligent algorithms that learn from and adapt to data to make accurate predictions. This book offers a hands-on approach to quickly learn ML, emphasizing both theoretical and practical aspects. The first half covers data analysis and visualization in detail, while the second half delves into machine learning and statistical models for data science. Each chapter provides a theoretical framework alongside practical examples to illustrate the techniques discussed. Purchasing this book grants you instant access to related learning materials, including references, PDFs, Python codes, and exercises, all available at no extra cost on the publisher's website. You can download the ML datasets used in the book or access them via the Resources/Datasets folder. Additionally, a short course on Python programming in the second chapter is particularly beneficial for beginners, ensuring you have everything you need to start your learning journey with just a computer and internet access.