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Practical Python Data Science Techniques

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Practical Python Data Science Techniques
Practical Python Data Science Techniques
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2.5 Hours | 489 MB
Genre: eLearning | Language: English

Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.

This course takes a practical approach to Data Science, presenting solutions for common and not-so-common problems in the form of recipes. This video will begin from exploring your data using the different methods like data acquisition, data cleaning, data mining, machine learning, and data visualization, applied to a variety of different data types like structured data or free-form text. It will show how to deal with text using different methods like text normalization and calculating word frequencies. The audience will learn how to deal with data with a time dimension and how to build a recommendation system as well as about supervised learning problems (regression and classification) and unsupervised learning problems (clustering). They will learn how to perform text preprocessing steps that are necessary for every text analysis applications. Specifically, the course will cover tokenization, stop-word removal, stemming and other preprocessing techniques.

The video takes you through with machine learning problems that you may encounter in your everyday use. In the end, the video will cover the time series and recommender system. By the end of the video course, you will become an expert in Data Science Techniques using Python.

Practical Python Data Science Techniques

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  1. 此视频将开始使用不同的方法,如数据获取、数据清理、数据挖掘、机器学习和数据可视化来查看数据, 这些数据应用于各种不同的数据类型, 如结构化数据或自由格式文本。在视频中,介绍了如何使用不同的方法, 如文本规范化和计算词频处理文本。观众将学习如何处理数据的时间维度, 如何建立一个推荐系统, 以及有关监督学习问题 (回归和分类) 和无监督学习问题 (聚类)。将学习如何执行每个文本分析应用程序所必需的文本预处理步骤。 视频将会讲解日常使用中可能遇到的机器学习问题。最后, 视频将涵盖时间序列和推荐系统。在视频课程结束时, 您将成为使用 Python 的数据科学技术方面的专家。
    sunsource(特殊组-翻译)2个月前 (09-08)