文件名称：Columbia_COMS4721_Machine_learning_homework:2021年Spring完成COMS4721的作业
文件大小：5.85MB
文件格式：ZIP
更新时间：2024-04-08 17:07:34
JupyterNotebook
Columbia_COMS4721_Machine_learning_homework COMS4721的作业-2021年Spring的数据科学机器学习 教授：约翰·佩斯利
【文件预览】：
Columbia_COMS4721_Machine_learning_homework-main
----Homework_2()
--------COMS4721_hw2_Spring2021.pdf(159KB)
--------RMSE.xlsx(6KB)
--------Gaussian process comparison.png(220KB)
--------homework2.pdf(503KB)
--------hw2-data()
--------lambda hat.png(141KB)
--------hm2 - coding.py(10KB)
--------Loss function newton.png(111KB)
--------hm2 - coding.ipynb(781KB)
--------Loss function.png(27KB)
--------Loss function logistic regression.png(145KB)
----Homework 3()
--------COMS4721_hw3_Spring2021.pdf(106KB)
--------hw3-data()
----.gitignore(2KB)
----Homework_1()
--------COMS4721_hw1_Spring2021.pdf(171KB)
--------homework1.pdf(3.4MB)
--------hm1 - coding.ipynb(696KB)
--------hw1-data()
--------RMSE versus lambda curves.png(120KB)
--------RMSE versus lambda curves in polynomial regression.png(187KB)
--------hm1 - coding.py(5KB)
--------wRR versus df(lambda) curves.png(240KB)
----README.md(138B)