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Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data

(ebook) (audiobook) (audiobook) Książka w języku 1
Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou - okladka książki

Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou - okladka książki

Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou - audiobook MP3

Numerical Computing with Python. Harness the power of Python to analyze and find hidden patterns in the data Pratap Dangeti, Allen Yu, Claire Chung, Aldrin Yim, Theodore Petrou - audiobook CD

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Do przechowalni

Data mining, or parsing the data to extract useful insights, is a niche skill that can transform your career as a data scientist Python is a flexible programming language that is equipped with a strong suite of libraries and toolkits, and gives you the perfect platform to sift through your data and mine the insights you seek. This Learning Path is designed to familiarize you with the Python libraries and the underlying statistics that you need to get comfortable with data mining.

You will learn how to use Pandas, Python's popular library to analyze different kinds of data, and leverage the power of Matplotlib to generate appealing and impressive visualizations for the insights you have derived. You will also explore different machine learning techniques and statistics that enable you to build powerful predictive models.

By the end of this Learning Path, you will have the perfect foundation to take your data mining skills to the next level and set yourself on the path to become a sought-after data science professional.

This Learning Path includes content from the following Packt products:

• Statistics for Machine Learning by Pratap Dangeti
• Matplotlib 2.x By Example by Allen Yu, Claire Chung, Aldrin Yim
• Pandas Cookbook by Theodore Petrou

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O autorach książki

Pratap Dangeti develops machine learning and deep learning solutions for structured, image, and text data at TCS, analytics and insights, innovation lab in Bangalore. He has acquired a lot of experience in both analytics and data science. He received his master's degree from IIT Bombay in its industrial engineering and operations research program. He is an artificial intelligence enthusiast. When not working, he likes to read about next-gen technologies and innovative methodologies.
Allen Yu, PhD, is a Chevening Scholar, 2017-18, and an MSC student in computer science at the University of Oxford. He holds a PhD degree in Biochemistry from the Chinese University of Hong Kong, and he has used Python and Matplotlib extensively during his 10 years of bioinformatics experience.
Claire Chung is pursuing her PhD degree as a Bioinformatician at the Chinese University of Hong Kong. She enjoys using Python daily for work and lifehack. While passionate in science, her challenge-loving character motivates her to go beyond data analytics. She has participated in web development projects, as well as developed skills in graphic design and multilingual translation. She led the Campus Network Support Team in college, and shared her experience in data visualization in PyCon HK 2017.
Aldrin Yim is a PhD candidate and Markey Scholar in the Computation and System Biology program at Washington University, School of Medicine. His research focuses on applying big data analytics and machine learning approaches in studying neurological diseases and cancer. He is also the founding CEO of Codex Genetics Limited, which provides precision medicine solutions to patients and hospitals in Asia.
Theodore Petrou is the founder of Dunder Data, a training company dedicated to helping teach the Python data science ecosystem effectively to individuals and corporations. Read his tutorials and attempt his data science challenges at the Dunder Data website.

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