文件名称：nueva-ml:Nueva的CS320（机器学习入门）和CS321（高级机器学习）。 2019-2020秋季; 2020-2021Spring学期
文件大小：2.8MB
文件格式：ZIP
更新时间：2024-04-20 22:40:32
JupyterNotebook
Nueva-ml 以下Nueva课程的相关工作： （CS320）机器学习简介 （CS321）高级机器学习 有关从头开始的前馈神经网络实现，请参见 。
【文件预览】：
nueva-ml-master
----Clustering()
--------ClusteringIris.ipynb(282KB)
--------.ipynb_checkpoints()
--------SelfClustering-OtherDataset.ipynb(121KB)
----.ipynb_checkpoints()
--------LogisticRegressionSynthetic-checkpoint.ipynb(123KB)
--------DecisionTree-checkpoint.ipynb(36KB)
--------LogisticRegressionIris-checkpoint.ipynb(33KB)
--------linear-regression-checkpoint.ipynb(176KB)
--------SelfClustering-OtherDataset-checkpoint.ipynb(327KB)
--------NaiveBayes-checkpoint.ipynb(10KB)
--------DataProcessing-checkpoint.ipynb(838KB)
--------ClusteringIris-checkpoint.ipynb(279KB)
--------SentimentAnalysis-checkpoint.ipynb(12KB)
--------jupyter-pandas-introduction-checkpoint.ipynb(37KB)
--------DataProcessing2-checkpoint.ipynb(105KB)
----Miscellaneous()
--------GAN.ipynb(43KB)
----Classification()
--------LogisticRegressionIris.ipynb(33KB)
--------LogisticRegressionSynthetic.ipynb(123KB)
--------DecisionTree.ipynb(37KB)
--------NaiveBayes.ipynb(10KB)
--------SentimentAnalysis.ipynb(12KB)
----student-data()
--------student-por.csv(91KB)
--------student-merge.R(269B)
--------student.txt(3KB)
--------student-mat.csv(56KB)
----README.md(255B)
----Data Processing()
--------DataProcessing2.ipynb(105KB)
--------DataProcessing.ipynb(838KB)
----Convolutional Neural Networks()
--------.ipynb_checkpoints()
--------ConvolutionalNeuralNetworkTuning.ipynb(22KB)
--------Convolutional Neural Network Tutorial.ipynb(63KB)
----Linear Regression()
--------jupyter-pandas-introduction.ipynb(37KB)
--------linear-regression.ipynb(176KB)
----.vscode()
--------settings.json(44B)