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所在平台: Udemy |
课程主页: https://www.udemy.com/course/machine-learning-with-python-data-science/
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《Python机器学习 [数据科学]》课程在线上线下总结 **课程概述：** 本课程是使用Python进行监督学习和无监督学习的完整指南。它涵盖了实际数据科学的所有主要方面，学完即可满足您对Python数据科学学习的需求，无需再参考其他课程或书籍。 在当今大数据时代，全球公司纷纷利用Python处理海量信息。精通Python的无监督和监督学习，将为您的公司带来竞争优势，并助您的职业生涯更上一层楼。 **讲师介绍：** 本课程由拥有3年以上数据科学经验的Aakash Singh讲授。他近期还在国际期刊IJSR发表了关于机器学习数据集的研究论文。 **课程亮点：** * **全面性：** 涵盖监督学习和无监督学习，包括聚类和分类等主要机器学习方面。 * **零基础入门：** 无需任何Python、统计学或机器学习先验知识。课程将从最实用的Python数据科学基础和技术讲起，使用易于理解的实操方法，化繁为简。 * **实操导向：** 通过真实数据集进行实践，让您学会使用Numpy、Pandas和Matplotlib等流行Python库处理数据。 * **Jupyter Notebook实训：** 在Jupyter Notebook环境中进行大量的实验室练习。 * **理论与实践结合：** 结合大量真实生活案例，增强编程的实践能力，同时不忽视至关重要的理论知识。 * **学以致用：** 课程结束后，您将能够熟练运用Python进行编程，自信地进行机器学习实践，并能自主开发和实施自己的项目。 * **全程支持：** 讲师将随时为学生提供支持。 * **高需求技能：** Python和机器学习是当今最热门、最受欢迎的技能。 **立即报名，开启您的数据科学之旅！**
HERE IS WHY YOU SHOULD TAKE THIS COURSEThis course is complete guide 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 do away withtaking other course or buying books on python based Data science.In this age of Big data companies across the globe use python to sift through the Avalache of information at their disposal..By becoming proficient in unsupervised and supervised learning in python,you can give your company a competitive edge and boost your careeer to the next level.LEARN FROM AN EXPERT DATA SCIENCE WITH 3+ YEARS OF EXPERIENCE:My Name is Aakash Singh and I had also recently published my Research Paper in INTERNATIONAL JOURNAL IJSR on Machine Learning Dataset.This course will give you robust grounding in the main aspects of Machine Learning-Clustering and Classification.NO PRIOR PYTHON OR STATISTICS 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 conceptsin python.My course will help you to implement the methods using real data obtained from different sources.After using 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 life examples for icreasing practical side knowledge of the programming and we should not neglect theory section als,which is essential 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 also be able to create your own program amd implement were you want.Most importantly ,you will learn to implement these techniques practically using python ,you will have access to all the data and scripts used in this course.remenber ,i am always around to support my studentsBoth python and machine learning are most neede skills Nowadays SIGN UP NOW!
