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所在平台: Udemy |
课程主页: https://www.udemy.com/course/numpy-for-data-science-and-machine-learning/
课程评论：没有评论
课程名称：掌握NumPy for Data Science & Machine Learning 课程概述： 本课程是学习Python数据科学和机器学习的基础。NumPy的核心对象是NumPy数组（ndarray），它在数值计算和数据分析中扮演着至关重要的角色。Pandas以及其他机器学习和人工智能工具都需要处理表格或类似数组的数据，因此，熟练运用NumPy能够显著提升这些工具的效率和数据处理性能。 NumPy数组比Python列表快10到100倍（甚至更多），对于有志于成为数据分析师、数据科学家或大数据工程师的Python开发者来说，掌握NumPy是必不可少的。本课程还将通过一个实际演示，证明NumPy的向量化操作比传统的Python列表操作更快。 如果您想学习最快速的Python多维数据处理框架，它是Pandas（数据分析）和Scikit-learn（机器学习算法）等众多数据科学包的基石，那么您来对地方了。 课程内容请参考课程页面的“课程内容”部分。 祝您学习顺利，未来成功！期待在课程中见到您。 讲师：Pruthviraja L
Hi, welcome to the 'NumPy For Data Science & Machine Learning' course. This forms the basis for everything else. The central object in Numpy is the Numpy array, on which you can do various operations. We know that the matrix and arrays play an important role in numerical computation and data analysis. Pandas and other ML or AI tools need tabular or array-like data to work efficiently, so using NumPy in Pandas and ML packages can reduce the time and improve the performance of the data computation. NumPy based arrays are 10 to 100 times (even more than 100 times) faster than the Python Lists, hence if you are planning to work as a Data Analyst or Data Scientist or Big Data Engineer with Python, then you must be familiar with the NumPy as it offers a more convenient way to work with Matrix-like objects like Nd-arrays. And also we're going to do a demo where we prove that using a Numpy vectorized operation is faster than normal Python lists.So if you want to learn about the fastest python-based numerical multidimensional data processing framework, which is the foundation for many data science packages like pandas for data analysis, sklearn, scikit-learn for the machine learning algorithm, you are at the right place and right track. The course contents are listed in the "Course content" section of the course, please go through it.I wish you all the very best and good luck with your future endeavors. Looking forward to seeing you inside the course.Towards your success:Pruthviraja L
