文件名称：Python机器学习
文件大小：51.46MB
文件格式：ZIP
更新时间：2024-03-07 14:13:00
JupyterNotebook
Python机器学习
【文件预览】：
Machine-Learning-with-Python-master
----Machine Learning with Python - Week 2 - Lab 1 - Regression - Simple Linear Regression (FR).ipynb(122KB)
----flask_docker_sklean()
--------ReadMe.txt(3KB)
--------Dockerfile(774B)
--------requirements.txt(49B)
--------ReadMe(3KB)
--------readme.md(3KB)
--------app.py(2KB)
--------chrunlog_r.pkl(939B)
--------train.py(7KB)
----data()
--------ex6data2.mat(7KB)
--------CASE STUDY_DATA_LATE DELIVERY ROOT CAUSE.xlsx(11.82MB)
--------ex6data3.mat(6KB)
--------tunisia-gpd.csv(2KB)
--------Mall_Customers.csv.xls(4KB)
--------Mall_Customers.csv(4KB)
--------WA_Fn-UseC_-HR-Employee-Attrition.csv(223KB)
--------advertising.csv(105KB)
--------dataRCA.csv(15.04MB)
--------HR-Employee-Attrition.csv(223KB)
--------DataRCA.xlsx(11.82MB)
--------DescriptionDataCoSupplyChain.csv(3KB)
--------nba_2016_2017_100.csv(32KB)
--------ex6data1.mat(981B)
--------WA_Fn-UseC_-HR-Employee-Attrition.csv.xls(223KB)
----DataCoSupplyChainDataset.csv.zip(17.79MB)
----DataScience_ToolBox()
--------docker-compose.yml(549B)
----Machine Learning with Python - Week 2 - Lab 2 - Regression - Mulitple Linear Regression (FR).ipynb(58KB)
----Data Analysis with Python - Week 1 - Introduction-FR.ipynb(138KB)
----week-1()
--------Machine Learning with Python - Week-1 - Lab 4 - Regression - Non Linear Regression.ipynb(156KB)
--------Data Analysis with Python - Week 1 - Data Wrangling-Fr.ipynb(42KB)
--------Machine Learning with Python - Week 1 - Lab 2 - Regression - Mulitple Linear Regression (FR).ipynb(58KB)
--------Machine Learning with Python - Week 1 - Lab 3 - Regression - Polynomial Regression- Fr.ipynb(24KB)
--------Data Analysis with Python - Week 1 - Introduction-FR.ipynb(138KB)
--------readme.md(84B)
--------Machine Learning with Python - Week 1 - Lab 1 - Regression - Simple Linear Regression (FR).ipynb(122KB)
----README.md(30B)
----Machine Learning with Python - Week 2 - Lab 3 - Regression - Polynomial Regression- Fr.ipynb(24KB)
----comparison-of-classification-regression-rnn.ipynb(75KB)
----tokenized_access_logs.csv.zip(7.89MB)
----DescriptionDataCoSupplyChain.csv(3KB)
----Data Analysis with Python - Week 2 - Data Wrangling-Fr.ipynb(42KB)