SKU/Artículo: AMZ-B0FND1S79G

Python for data science and machine learning: Analyze data, build predictive models, and visualize insight step-by-step

Format:

Paperback

Kindle

Paperback

Detalles del producto
Disponibilidad:
En stock
Peso con empaque:
0.59 kg
Devolución:
Condición
Nuevo
Producto de:
Amazon
Viaja desde
USA

Sobre este producto
  • Are you ready to unlock the power of Python and take your first steps into the world of data science and machine learning?Python for Data Science and Machine Learning is a practical, beginner-friendly, and project-based guide that walks you through every essential concept you need to analyze data, build predictive models, and create powerful visualizations.With clear explanations, hands-on exercises, and real-world applications, this book bridges the gap between theory and practice—making it the perfect resource for students, professionals, and anyone eager to gain data-driven skills in today’s tech-powered world.What You’ll LearnMaster the essentials of Python programming for data analysis.Work with NumPy and Pandas to manipulate structured datasets.Create compelling data visualizations with Matplotlib and Seaborn.Understand the fundamentals of machine learning and predictive modeling.Build, train, and evaluate classification and regression models.Explore deep learning basics with TensorFlow and Keras.Apply your knowledge through step-by-step projects and case studies.Who This Book Is ForBeginners who want to break into data science with Python.Students seeking a clear, step-by-step guide to machine learning concepts.Data analysts and business professionals eager to add predictive analytics to their skill set.Aspiring data scientists looking to build real-world projects.Tech enthusiasts curious about AI, machine learning, and data-driven insights.Why This Book Stands OutUnlike many technical manuals, this book is written in plain English with a focus on hands-on practice. You won’t just read about concepts—you’ll apply them immediately through guided coding examples and practical projects. By the end, you’ll feel confident using Python to solve data problems, create predictive models, and present insights effectively.
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