文件名称：Applied-Machine-Learning-in-Python--University-of-Michigan---Coursera:Coursera MOOC的课程资料
文件大小：44.93MB
文件格式：ZIP
更新时间：2024-06-07 06:19:48
JupyterNotebook
Python应用机器学习-密歇根大学--Coursera Coursera MOOC的课程材料：密歇根大学的Python应用机器学习，Python专业化应用数据科学课程3
【文件预览】：
Applied-Machine-Learning-in-Python--University-of-Michigan---Coursera-master
----week 3 quiz attempt 1 grades.pdf(112KB)
----rules_of_ml.pdf(449KB)
----03-adspy-module3-evaluation.pdf(1.77MB)
----02-adspy-module2-supervised1.pdf(5.1MB)
----latlons.csv(5.87MB)
----adspy_shared_utilities.py(10KB)
----A Few Useful Things to Know about Machine Learning - Domingos.pdf(156KB)
----cs670_Tran_PreferredPaper_LeakingInDataMining.pdf(848KB)
----train.csv(92.88MB)
----Assignment 2.ipynb(24KB)
----Assignment 4.ipynb(15KB)
----fruit_data_with_colors.txt(2KB)
----adspy_temp.dot(2KB)
----mushrooms.csv(365KB)
----week 4 quiz attempt 2.pdf(948KB)
----Module 2.ipynb(2.24MB)
----week 4 quiz attempt 1 grades.pdf(912KB)
----04-adspy-module4-supervised2.pdf(2.29MB)
----Unsupervised Learning.ipynb(14KB)
----Assignment 1.ipynb(89KB)
----addresses.csv(10.52MB)
----week 3 quiz attempt 1.pdf(149KB)
----Classifier Visualization.ipynb(8KB)
----05-adspy-unsupervised.pdf(2.42MB)
----Module 1.ipynb(480KB)
----week 2 quiz answers.pdf(1011KB)
----Assignment 3.ipynb(65KB)
----README.md(240B)
----week 4 quiz attempt 1.pdf(948KB)
----01-adspy-module1-basics.pdf(3.02MB)
----2007GuideControlledExperiments.pdf(493KB)
----__pycache__()
--------adspy_shared_utilities.cpython-36.pyc(8KB)
----test.csv(18.96MB)
----readonly()
--------polynomialreg1.png(153KB)
----Module 4.ipynb(2.19MB)
----CommViolPredUnnormalizedData.txt(1.49MB)
----week 4 quiz attempt 2 grades.pdf(850KB)
----fraud_data.csv(11.15MB)
----week 2 quiz results.pdf(701KB)
----Module 3.ipynb(955KB)