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Python for Data Science
- A Crash Course for Data Science and Analysis, Python Machine Learning and Big Data
- ナレーター: D. Wolf
- 再生時間: 3 時間 54 分
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あらすじ・解説
If you are looking to master the fundamental concepts of data science driven by the Python programming language to develop a solid understanding of all the latest cutting-edge technologies, then this is just that one comprehensive audiobook you have been waiting for.
This audiobook is carefully narrated to help you master the core concepts of Python programming and utilize your coding skills to analyze a large volume of data and uncover valuable information that can otherwise be easily lost in such volume, even if you have never learned any programming languages before.
Python has been designed primarily to emphasize readability of the programming code, and its syntax will enable you to convey ideas using fewer lines of code.
Some of the highlights of this audiobook include:
- The five major stages of the TDSP lifecycle
- Installation instructions for Python
- Python coding concepts such as data types, classes, objects variables, numbers, constructor functions, Booleans, and much more
- The functioning of various data science libraries like Scikit-Learn
- Deep-dive into the Matplotlib library
- Ways how machine learning allows analysis of large volumes of data and delivers faster and more accurate results
- Overview of four different machine learning algorithms
- Ways how companies are able to employ a predictive analytics model
Every concept in this audiobook is explained with examples and exercises so you can learn and test your learning at the same time. There are a variety of real-life examples of the application of machine learning technology that has been provided to help you understand the importance of all the cutting-edge technologies in shaping our world today.
If you want to learn more about Python for data science, then simply click the "buy now" button on this page to get started.