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Python for Data Science: Master Data Analysis from Scratch, with Business Analytics Tools and Step-by-Step techniques for Beginners. The Future of Machine Learning & Applied Artificial Intelligence.
If you are a student or a professional looking for more technical skills, or if you are simply curious about the most up-to-date data analysis techniques and their powerful applications, then this is definitely the book for you.
Learning all of the required skills to master data science and machine learning could certainly be challenging, but in this book, Jason Callaway has condensed all of the knowledge you need into a clear and beginner-friendly introduction, with practical examples, detailed explanations, and tips and tricks from his experience.
Through his revolutionary and systematic approach, you can learn techniques to manipulate and process datasets, the principles of Python programming, and their real-world applications, regardless of your previous experience.
Here's just a tiny fraction of what you will
What data science 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, and Matplotlib All of 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) The future of Artificial Intelligence How to build neural networks with Python Step-by-step exercises, practical examples , and tips and tricks
Are you ready to develop a successful career in the growing industry of data science?
Learning all of the required skills to master data science and machine learning could certainly be challenging, but in this book, Jason Callaway has condensed all of the knowledge you need into a clear and beginner-friendly introduction, with practical examples, detailed explanations, and tips and tricks from his experience.
Through his revolutionary and systematic approach, you can learn techniques to manipulate and process datasets, the principles of Python programming, and their real-world applications, regardless of your previous experience.
Here's just a tiny fraction of what you will
What data science 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, and Matplotlib All of 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) The future of Artificial Intelligence How to build neural networks with Python Step-by-step exercises, practical examples , and tips and tricks
Are you ready to develop a successful career in the growing industry of data science?
172 pages, Paperback
Published November 25, 2020
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