|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-science-and-machine-learning-bootcamp/
课程评论：没有评论
课程名称：Python数据科学与机器学习训练营 课程概述：准备开始成为一名数据科学家的旅程吗？这个综合课程将引导您学习如何使用Python的强大功能来分析数据、创建精美的可视化，并使用强大的机器学习算法！根据Indeed的数据，数据科学家在Glassdoor上被评为最佳职业之一，美国数据科学家的平均工资超过12万美元。数据科学是一条回报丰厚的职业道路，让您能够解决一些世界上最有趣的问题！ 本课程适合具有一定编程经验的初学者或希望转向数据科学的经验开发者。该综合课程与通常价格高达数千美元的数据科学训练营相媲美，但您现在可以以低廉的成本学习所有这些知识！课程包含100多节高清讲座和每节课的详细代码笔记，是Udemy上最全面的数据科学与机器学习课程之一。 我们将教您如何用Python编程、如何创建惊人的数据可视化，以及如何使用Python进行机器学习！以下是我们将学习的一些主题： - 使用Python编程 - 使用NumPy - 利用pandas数据框解决复杂任务 - 使用pandas处理Excel文件 - 使用Python进行网络爬虫 - 将Python连接至SQL - 使用matplotlib和seaborn进行数据可视化 - 使用plotly进行交互式可视化 - 使用SciKit Learn进行机器学习，包括：线性回归、K近邻、K均值聚类、决策树、随机森林、自然语言处理、神经网络与深度学习、支持向量机等。 立即注册课程，成为一名数据科学家吧！
Are you ready to start your path to becoming a Data Scientist! This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms! Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems! This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science! This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! With over 100 HD video lectures and detailed code notebooks for every lecture this is one of the most comprehensive course for data science and machine learning on Udemy! We'll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with PythonNumPy with PythonUsing pandas Data Frames to solve complex tasksUse pandas to handle Excel FilesWeb scraping with pythonConnect Python to SQLUse matplotlib and seaborn for data visualizationsUse plotly for interactive visualizationsMachine Learning with SciKit Learn, including:Linear RegressionK Nearest NeighborsK Means ClusteringDecision TreesRandom ForestsNatural Language ProcessingNeural Nets and Deep LearningSupport Vector Machinesand much, much more! Enroll in the course and become a data scientist today!
