Python for Data Science: Master Data Analysis from Scratch, with Business Analytics Tools and Step-by-Step Exercises for Beginners. The Future of Machine Learning and Applied Artificial Intelligence - Tapa blanda

Sinopsis

Are you searching for the fastest way to become proficient in the fascinating world of data science?

If you are a student or a professional looking for more technical skills, or if you are simply curious about the most updated techniques of data analysis and their powerful applications, then this is definitely the book for you.

Learning all the required skills to master data science and machine learning could certainly be challenging, but in this book, Daniel Howard has condensed all the knowledge you need in a simple and practical way. Through his revolutionary and systematic approach, you will learn, regardless of your previous experience, the techniques to manipulate and process datasets, the principles of Python programming, and its most important real-world applications.

Here’s just a tiny fraction of what you will discover:

• What data analysis is, and why it has become fundamental in hundreds of business and technological applications
• The basics of Python programming
• Essential Python libraries such as NumPy, Pandas, Matplotlib
• All the most effective computational methods for data analysis
  
• Data visualization tools and techniques
  
• How to build statistical and machine learning models (even if you are brand new to programming)
  
• What artificial intelligence
  
• How to build neural networks with Python
  
• Step-by-step exercises, practical examples, tips and tricks

If you are ready to develop a successful career in the growing industry of data science, then click the BUY button and get your copy!

"Sinopsis" puede pertenecer a otra edición de este libro.