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Understanding Machine Learning with Python (2016)

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Understanding Machine Learning with Python (2016)
Understanding Machine Learning with Python
MP4 | 2016 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 2 Hours | 201 MB
Genre: eLearning | Language: English

Use your data to predict future events with the help of machine learning. This course will walk you through creating a machine learning prediction solution and will introduce Python, the scikit-learn library, and the Jupyter Notebook environment.

When working with data, machine learning can be used to do incredible things, including predicting future events. Its ease of use combined with the power of scikit-learn is causing Python to become the preferred development language for many machine learning practitioners. In this course, Understanding Machine Learning with Python, you will learn how Python developers and data scientists use machine learning to predict the likelihood of events based on data. Throughout this course, you will use Python and the scikit-learn library. Specifically, you will learn how to format your problem to be solvable, how to prepare your data for use in a prediction, and finally how to combine that data with algorithms to create models that can predict the future, all performed in the Jupyter Notebook environment. By the end of this course, you will have a better understanding of how machine learning can help you put your data to good use in predicting future events, and you'll also know how to use Python to make it happen.

Understanding Machine Learning with Python (2016)

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  1. Python机器学习 通过机器学习的帮助,使用数据预测未来的事情。教程将会带你通过Python的scikit-learn类库以及Jupyter Notebook环境,学习创建机器学习预测解决方案。 在处理数据的时候,机器学习可以用来完成难以想象的事情,包括预测未来事件。其易于使用,使用了scikit-learn能够让Python成为许多机器学习实践者的首先开发语言。在本教程中,你将学习Python开发者和数据科学家如何使用机器学习基于数据预测同类事件。 你将会学习如何让你的问题具有可解决性,如何准备你的数据用于预测,以及最后如何通过算法合并数据以创建能够预测未来的模式,所有这些都将在Jupyter Notebook的环境下实现。学习完本教程后,你将能更更好地理解机器学习,并使用你的数据用于预测未来时间。
    wilde(特殊组-翻译)2年前 (2016-05-18)