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所在平台: Udemy |
课程主页: https://www.udemy.com/course/sglearnpython-for-data-science-machine-learning-bootcamp/
课程评论：没有评论
课程名称：SGLearn@Python 数据科学与机器学习训练营 课程概述：欢迎参加SGLearn系列课程，专为新加坡学习者设计，旨在帮助学习新的技能和能力。本课程是Jose Marcial Portilla课程的改编版，与Jose合作特别为新加坡学习者制作。新加坡公民可申请CITREP+资助计划，具体条款和条件适用。 Jose提到：“你准备好开始成为数据科学家的道路了吗？”本课程将指导您如何利用Python的强大功能进行数据分析，创建漂亮的可视化效果，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，平均薪资超过120,000美元！数据科学是一个有前途的职业，让您能够解决一些世界上最有趣的问题！ 该课程适合具备一定编程经验的初学者或希望转向数据科学的有经验开发人员。课程内容全面， comparable with其他通常需要花费数千美元的数据科学训练营，而现在您可以以极低的成本获取所有这些知识！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和机器学习课程之一！ 课程设置将教授您如何使用Python编程，创建精彩的数据可视化，以及如何运用Python进行机器学习。学习内容包括但不限于以下主题： - 使用Python编程 - NumPy与Python - 使用Pandas数据框解决复杂任务 - 使用Pandas处理Excel文件 - 使用Python进行网页抓取 - 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近邻算法 - 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 - 还有更多内容！ 立即报名，成为一名数据科学家吧！
Welcome to the SGLearn Series targeted at Singapore-based learners picking up new skillsets and competencies. This course is an adaptation of the same course by Jose Marcial Portilla and is specially produced in collaboration with Jose for Singaporean learners. If you are a Singaporean, you are eligible for the CITREP+ funding scheme, terms and conditions apply. -------- Note from Jose..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!
