IBM数据科学专业证书课程4:《Python应用于数据科学、人工智能和开发》python-for-applied-data-science-ai(中英字幕)共计24条视频,包括:0_类型.zh_en、1_表达式和变量.zh_en、2_字符串操作.zh_en等,UP主更多精彩视频,请关注UP账号。
数据科学的Python 这是一个跟踪我在IBM Cognative课堂课程(即Python for Data Science)中取得的进展的存储库。 在课程结束时,我将获得一个可以证明我的成就的徽章。 以下是指向我的GitHub Gist的链接,该链接显示了我正在学习的内容以及在IBM Cognative课程中的学习进度
作为IBM CongnitiveClass“使用Python的应用数据科学”学习路径的一部分,我所做的所有工作。 证明书 适用于数据科学的Python 101 使用Python进行数据分析 使用Python进行数据可视化 使用的Python软件包 1-科学计算库: 熊猫(数据结构和工具) Numpy(数组和矩阵) Scipy(积分,求解微分方程,优化) 2-可视化库: Matplotlib(...
26. Data Science – Reddit https://www.reddit.com/r/datascience/ Data Science subreddit提供了大量有关如何使用Python处理大型数据集并以有趣的方式处理它的资源。 27. Data science sexiness: Your guide to Python and R https://thenextweb.co...
import alive_bar with alive_bar(total) as bar: # declare your expected total for item ...
1.Python for Data Science and Machine Learning Bootcamp[Udemy] This is one of the most insanely popular courses on the Udemy platform, with close to 500,000 students giving it a 4.7-star rating. You will get lifetime access to more than 25 hours of on-demand video lectures, 13 articles...
49. Top 100 Python Interview Questions & Answers For 2019 | Edureka https://www.edureka.co/blog/interview-questions/python-interview-questions/ 如果您在面试中遇到Python技能问题,这个面试问题列表将有助于作为一个有用的提醒和复习,并且是您练习和巩固不同Python概念的好方法。
Who should take this course?This course is recommended for professionals who already have some Python experience but want to learn more about the Numpy Stack so they can move on to more advanced machine learning and data science courses.
49. Top 100 Python Interview Questions & Answers For 2019 | Edureka https://www.edureka.co/blog/interview-questions/python-interview-questions/ 如果您在面试中遇到Python技能问题,这个面试问题列表将有助于作为一个有用的提醒和复习,并且是您练习和巩固不同Python概念的好方法。
In the information age, data is all around us. Within this data are answers to compelling questions across many societal domains (politics, business, science, etc.). But if you had access to a large dataset, would you be able to find the answers you seek? This course, part of the Dat...