Kickstart your learning of Python for data science, as well as programming in general, with this beginner-friendly introduction to Python. Python is one of the world’s most popular programming languages, and there has never been greater demand for professionals with the ability to apply Python ...
Understanding the importance of Python as a data science tool is crucial for anyone aspiring to leverage data effectively. This course is designed to equip you with the essential skills and knowledge needed to thrive in the field of data science. This co
coursera上有哪些值得学习的Python,数据分析的课程？Coursera是大型公开在线课程项目，由美国斯坦福大学两名...
Python_for_Data_Science_and_AI_COURSE:在这里,我记下了来自COURSERA的“数据科学和AI的Python”课程的笔记,该课程是在LEET CODE上完成的 开发BI**AN 上传1.21MB 文件格式 zip Python_for_Data_Science_and_AI_COURSE_notes 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 ...
Visualizing Data with Python 5 周， 每周2-3小时 数据科学 Python for Data Science 10 周，每周8-...
Python for Data Science Full Course：该视频来自 edureka，涵盖了必要的 Python 软件包，能帮你打下数据科学的坚实基础。视频末尾简要谈到了通过 Python 使用 Keras 和 TensorFlow 进行深度学习。（https://www.youtube.com/watch?v=-6RqxhNO2yY）Data Analysis with Python：该视频来自 freeCodeCamp.org。在...
1. Python for Everybody Specialization from University of Michigan (Coursera) 2. Complete Python Bootcamp: Go from zero to hero in Python 3 (Udemy) 3. Applied Data Science with Python Specialization from University of Michigan (Coursera) 4. Python for Data Science and Machine Learning Bootcamp ...
你可以阅读「19 places to find free data sets for your data science project」来查找合适的数据集。 另一种方法是将数据科学应用到你感兴趣的领域。例如,如果你想预测股票市场价格,那么你可以从 Yahoo Finance中获取实时数据,并将其存储在 SQL 数据库中,然后使用机器学习来预测股票价格。 如果你希望从其它行业...
Oktavian 在第二个月里学习了 Coursera 上的 DeepLearning.AI TensorFlow 开发者专业认证课程:https://www.coursera.org/professional-certificates/tensorflow-in-practice。该课程的讲师是来自谷歌大脑的 Laurence Moroney 和 deeplearning.ai 创始人吴恩达。
IBM Data Science and AI Programs Free for 30 Days 100+ Coursera Courses Free Until 31st December – View the list Top Udemy instructors The Complete Web Development Bootcamp by Angela Yu SkillShare FREE Trial – 2 Months, 3 Months, 6 Months [Update] ...