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Learning Python Data Analysis

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Learning Python Data Analysis

Learning Python Data Analysis
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 1.32 GB
Genre: eLearning | Language: English
Python features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice for data scientists for data analysis, visualization, and machine learning.

This video aims to teach Python developers how to perform data analysis with the language by taking advantage of the core data science libraries in the Python ecosystem. The learning objective for viewers is to understand how to locate, manipulate, and analyse data with Python, with the ability to analyse large and small sets of data using libraries such as Numpy, pandas, IPython and SciPy.

This is a two part series. The first series is focused on getting and manipulation sizeable amounts of data using modern techniques. The second series is focused on advanced analysis of the data to include modern machine learning techniques.

Learning Python Data Analysis

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  1. 学习Python数据分析  Python具有多种数字和数学工具箱,如Numpy、Scipy、Scikit和SciKit,都是用于数据分析和机器学习的。通过这些工具的帮助,Python成为了数据科学家用于数据分析、可视化和机器学习的首选语言。 本视频教程旨在为Python开发者讲授如何使用这门语言,通过利用Python生态系统中核心数据科学类库的优势执行数据分析。学习目标是要理解如何定位、操作和使用Python分析数据,掌握使用如Nympy、pandas、IPython和SciPy分析各种规模数据集的能力。 教程分为两个部分。第一部分集中于使用现代技术操作大型数据。第二部分集中于数据的高级分析,包括现代机器学习技术。
    wilde(特殊组-翻译)7个月前 (04-04)