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Step-by-Step Machine Learning with Python

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Step-by-Step Machine Learning with Python
MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 5 Hours | 948 MB
Genre: eLearning | Language: English


Data science and machine learning are some of the top buzzwords in the technical world today. The resurging interest in machine learning is due to the same factors that have made data mining and Bayesian analysis more popular than ever. This video is your entry point to machine learning. It starts with an introduction to machine learning and the Python language and shows you how to complete the necessary setup. Moving ahead, you will learn all the important concepts such as exploratory data analysis, data preprocessing, feature extraction, data visualization and clustering, classification, regression, and model performance evaluation. With the help of the various projects included, you will acquire the mechanics of several important machine learning algorithms, which will no longer seem obscure. Also, you will be guided step-by-step to build your own models from scratch. Toward the end, you will gather a broad picture of the machine learning ecosystem and master best practices for applying machine learning techniques. Throughout this course, you will learn to tackle data-driven problems and implement your solutions with the powerful yet simple Python language. Interesting and easy-to-follow examples—including news topic classification, spam email detection, online ad click-through prediction, and stock prices forecasts—will keep you glued to the screen till you reach your goal.

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  1. 一步步学习Python机器学习 数据科学和技巧学习是当今技术界的流行术语。对机器学习重现出现的兴趣来源于使得数据挖掘和贝叶斯分析比以往更流行的同样的原因。本教程是你对机器学习的入门。它会从机器学习和Python语言的介绍开始,并为你演示如何必要的安装。然后,你将学习所有重要的概念,如数据分析、数据预处理、功能提取、数据可视化和集群、分类、递归以及模型性能评估。通过各种项目的帮助,你将掌握机器学习算法几种重要的机制,并分清楚它们之间的区别。同样,你将一步步地在指导下从零开发你自己的模型。最后,你将能够看清楚机器学习生态系统的全景,并掌握应用机器学习技术的最佳实践。通过本教程,你将学习解决数据驱动的问题并通过强大但是简单的Python语言实施你的解决方案。有趣并且易于掌握例子,包括新闻主题分类、垃圾邮件检测、在线广告点击率预测以及股票价格预测,都将会深深地吸引你。
    wilde(特殊组-翻译)1个月前 (10-08)