Python-for-everybody-Coursera This repo consists of assignments of Coursera's "Python for everybody" specialization course offered by Michigan University , taught by Dr.Chuck Severance and codes of "Python for Pentesters" offered by Udemy. Banner grabbing md5 Hash Sniffinf using ScapyAbout...
Python for Everybody: My Learning ResourcesThis repository documents my personal learning journey inspired by the Python for Everybody resources created by Professor Charles Severance, University of Michigan.OverviewThis repository contains:Personal notes: Summaries and insights from the courses I completed...
This is the first course of a two-course sequel. The second one is Introduction to Computational Thinking andData Science. This python course discusses every topic because this course is open for all background courses. Just like the other beginner-level courses, it gives the students a basic ...
python中fit的batch_size参数 GitHub项目:https:///mstampfer/Coursera-Stanford-ML-Python 第1章 监督学习 监督学习是指在有标记的 样本(labeled samples)上建立机器学习的模型。 无监督学习算法就会以最合理的方式将数据集分 成确定数量的组别。 建立书中的各种模型时,将使用许多Python程序包,像NumPy、SciPy、scik...
com/video/BV1m341177Wk/如果你是一个beginner，一定不要错过多密歇大学根提供的Python for Everybody的...
优质在线课程:Coursera(如 “Python for Everybody” by University of Michigan),edX,Udacity, 或国内...
About Coursera Python for Everybody Specialization codes Activity Stars 0 stars Watchers 1 watching Forks 0 forks Report repository Releases No releases published Packages No packages published Languages Python 100.0% Footer © 2024 GitHub, Inc. Footer navigation Terms Privacy Security Stat...
吴恩达(Andrew Ng)在coursera的机器学习课程习题的python实现. Contribute to liugy111/python-machine-learning development by creating an account on GitHub.
3. Coursera(https://www.coursera.org/courses?query=python) Coursera上有许多由世界知名大学提供的Python课程。这些课程通常包括讲座、阅读材料和编程作业。值得关注的课程有“Python for Everybody”和“Python数据结构”等。部分课程可以免费学习,但要获得证书需要付费。 4. edX(https://www.edx.org/learn/python...
coursera吴恩达机器学习课程作业自写Python2.7版本,使用jupyter notebook实现,使代码更有层次感,可读性强。 本repository实现算法包括如下: 线性回归: linear_regression.ipynb 多元线性回归:linear_multiple.ipynb 逻辑回归:logic_regression.ipynb 正则化用于逻辑回归: logic_regularization.ipynb 模型诊断+学习曲线: learnCur...