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所在平台: Udemy |
课程主页: https://www.udemy.com/course/python-for-data-science-and-machine-learning-pdml/
课程评论：没有评论
课程名称：Python数据科学与机器学习 课程概述：本课程采用实用的方法教授机器学习和数据科学，从基本的Python库开始，逐步深入到更复杂的预测实现。虽然本课程不需要先修课程，但学习者需具备基本的Python知识，并查阅课程材料中的Python基础文档。课程内容包括数据科学相关的作业，涉及股票分析、文本提取、不同数据集的操作以及有效应用各种算法。在此过程中，我们将探索不同的方法和库，进行预测、验证结果等。 学习内容包括： - NumPy - Pandas - Seaborn - Matplotlib - Plotly - Scikit-Learn - 机器学习等 本课程面向希望入门数据科学的初学者和希望提升技能的有经验开发者。学习者将能够思维像数据科学家，掌握数据清洗、数据预处理、数据方法论等知识。此外，课程材料中提供了数据集，学习者还将学习如何从网上下载数据。 适合人群： - 对机器学习和数据科学感兴趣的任何人 - 拥有至少高中数学知识并希望学习机器学习的学生 - 理解基本机器学习算法（如线性回归或逻辑回归）的中级人员，希望深入了解 - 不太熟悉编码但对机器学习感兴趣的人 - 希望在数据科学领域开创职业的大学生 - 希望提升机器学习技能的数据分析师 - 对当前工作不满意并希望成为数据科学家的人员 - 希望利用强大的机器学习工具为业务创造附加价值的人 - 任何愿意学习的人士 请持续关注，我将继续推出更多课程，以保持生产力并更新计算机科学与数据科学中的最新趋势。同时，请提供您宝贵的反馈和评分。谢谢您。在这个艰难时期，请继续提升自我，为未来做好准备，保持安全，待在家中。
This course is based on practical Approach towards Machine Learning and Data Science.Starting from the basic python libraries and going to implement and perform more complex level predictions.There is no prerequisite for this course but still you must go through the python basic documentation which you will get in this course material.and you must have basic knowledge of python before starting with this course.There will be some assignments based on data science which will includestock analysistext extractionworking on different data setsapplying different algorithms in an effective manner.moreHere we explore different methods , libraries. make predictions , verify results and more.Learn how to useNumPyPandasSeabornMatplotlibPlotlyScikit-LearnMachine Learningmore!This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!This will going to most effective and comprehensive course for data science aspirantsyou will be able to think like a data wizard or data scientist.you will get the dataset from the course material and also its available on web i will show you have to download that also.you will also get some good understanding ofdata cleaningdata preprocessingdata methodologiesapplying testsetcupdatesCODES ALL UP TO DATEWho this course is for:Anyone interested in Machine Learning , Data Science.Students who have at least high school knowledge in math and who want to start learning Machine Learning.Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.Any students in college who want to start a career in Data Science.Any data analysts who want to level up in Machine Learning.Any people who are not satisfied with their job and who want to become a Data Scientist.Any people who want to create added value to their business by using powerful Machine Learning tools.Students in the field of Data Science Any one who is willing to learn can join.Stay tuned I will continue bringing more such courses to stay productive and updated with latest trendsin Computer Science Engineering and Data Science.Also please provide your Wonderful Feedback and Rating. Thank you...In this hard times also continue to upgrade yourself and be trained for the futureStay safe and stay home.
