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所在平台: Udemy |
课程主页: https://www.udemy.com/course/introduction-to-machine-learning-for-begineers-t/
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Coursera 课程 "Python 机器学习入门 [数据科学]" 概述： 这门课程旨在全面指导学习者掌握监督学习和无监督学习，并使用 Python 进行实现。通过本课程，你可以全面了解实际数据科学的核心内容，掌握 Python 数据科学的基础知识，并能独立应用。 **课程亮点：** * **实战导向：** 课程内容面向实际应用，帮助你应对大数据挑战。 * **专家授课：** 由拥有 3 年以上机器学习实战经验并发表过学术论文的 Aakash Singh 教授。 * **零基础友好：** 无需任何 Python、统计学或机器学习基础。课程将从 Python 数据科学基础知识和技巧开始讲解。 * **深入浅出：** 采用易于理解的实践方法 (hands-on methods)，化繁为简，清晰讲解复杂的概念。 * **实际案例：** 使用真实数据进行教学，帮助你掌握 Numpy、Pandas、Matplotlib 等常用 Python 数据科学库。 * **Jupyter Notebook 实操：** 通过 Jupyter Notebook 进行大量的真实案例编码练习，增强实践能力。 * **理论与实践结合：** 理论知识与编码实操并重。 * **学完目标：** 课程结束后，你将能够熟练使用 Python 进行编程，自信地应用机器学习技术，并能独立开发和实现自己的机器学习项目。 * **全程支持：** 学习过程中可获得讲师的全程支持，并提供所有课程数据和脚本。 **主要学习内容：** * Python 数据科学基础与技术 * 监督学习 (Supervised Learning) * 无监督学习 (Unsupervised Learning) * 机器学习中的聚类 (Clustering) 与分类 (Classification) 技术 * 使用 Numpy, Pandas, Matplotlib 进行数据处理与可视化 **立即报名，开启你的数据科学和机器学习之旅！**
HERE IS WHY UOU SHOULD TAKE THIS COURSE:This course complete guides you to both supervised and unsupervised learning using python.This means ,this course covers all the main aspects of practical Data science and if you take this course you can done with taking other courses or buying books on Python based Data Science.In this age of big data companies across the globe use python to shift through the avalanche of information at their disposal.By becoming proficient in supervised and unsupervised learning in python you can give your company a competitive edge and boost your careeer to the next level.'''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''LEARN FROM AN EXPERT DATA SCIENTIST WITH 3+ YEARS OF EXPERIENCEMy Name is Aakash Singh and I had also recently Published my Research Paper in INTERNATIONAL JOURNAL IJSR on Machine Learning Dataset.This course will help you to roboust grounding in the main machine learning clustering and classifiation....................................................................................................................................................................................................................................NO PRIOR PYTHON OR STATICS OR MACHINE LEARNING KNOWLEDGE IS REQUIRED:You will start by absorbing the most valuable python data science basics and techniques.I use easy to understand hands on methods to simplify and address even the most difficult concepts in python.My course will help you to implement the methods using real data obtained from different sources.after taking this course you will easily use package like Numpy,Pandas and Mathplotlib to work with real data in python.We will go through Lab section on JUPYTER NOTEBOOK terminal ,we will go through lots of real like examples for increasing practical side knowledge of programming and we should not neglect theory section also ,Which is essential for this course for this course by the end of this course you will be able to code in python language and feel confident with Machine Learning and you will be able to create your own program and implement where you want.Most importantly uou will learn to implement these techniques pracitically using python ,you will have access to all the data and scripts used in this course remember i am always around you to support my student. SIGN UP NOW!....
