开课前提供上课必备资料 | BE93B49F0A66D2BB72D581487E78BE54035B7B70

开课前提供上课必备资料

Name	开课前提供上课必备资料	DOWNLOAD Copy Link
Total Size	16.7 GB
Total Files	317
Last Seen	2024-07-01 23:58
Hash	BE93B49F0A66D2BB72D581487E78BE54035B7B70

/.../ubuntu-16.04/
ubuntu16.04.vmsd	0.0 KB
ubuntu16.04.vmxf	0.3 KB
ubuntu16.04.vmdk	0.8 KB
vprintproxy-0.log	2.3 KB
vprintproxy-1.log	2.3 KB
vprintproxy-2.log	2.3 KB
vprintproxy.log	2.3 KB
ubuntu16.04.vmx	3.2 KB
ubuntu16.04.nvram	8.7 KB
ubuntu16.04-s007.vmdk	196.6 KB
vmware-2.log	261.9 KB
vmware.log	264.7 KB
vmware-0.log	274.0 KB
vmware-1.log	274.6 KB
autoinst.flp	1.5 MB
ubuntu16.04-s006.vmdk	45.9 MB
autoinst.iso	48.5 MB
ubuntu16.04-s004.vmdk	813.8 MB
ubuntu16.04-s005.vmdk	1.4 GB
ubuntu16.04-s003.vmdk	3.0 GB
ubuntu16.04-s002.vmdk	3.6 GB
ubuntu16.04-s001.vmdk	4.0 GB
/day08/资料/
一个必备的机器学习数据挖掘入门资料.txt	0.0 KB
python2和3差别对比.txt	0.5 KB
机器学习第8天笔记.txt	7.1 KB
Hash表算法处理海量数据处理面试题.docx	27.7 KB
面试算法集合-修改版.pdf	1.7 MB
模型推导.pdf	1.8 MB
/day04/代码/Day04/
sentence.txt	0.1 KB
3.2exception.py	0.3 KB
1.2tupleDerive.py	0.3 KB
mathAsk.py	0.3 KB
5.3Exceptions.py	0.4 KB
3.8dicDerived.py	0.4 KB
5.1GUI.py	0.4 KB
5.1input.py	0.4 KB
8.1GUI.py	0.5 KB
2.3while.py	0.5 KB
1.3dictDerive.py	0.5 KB
2.4break_continue.py	0.5 KB
2.2if_elif_else.py	0.5 KB
5.2FileOperator.py	0.5 KB
2.1forDemo.py	0.6 KB
4.3breakContinue.py	0.6 KB
4.2part3whilerange.py	0.6 KB
7.1ObjectOriented.py	0.6 KB
3.9set.py	0.6 KB
4.1if_for.py	0.6 KB
3.1fileOperation.py	0.7 KB
Orientation.py	0.7 KB
4.1part2if_for.py	0.7 KB
10.HongBao.py	0.8 KB
9.1GAME.py	0.9 KB
1.1listDerive.py	1.3 KB
Orientation.pyc	1.4 KB
0pythonfoundation.py	1.9 KB
3.6listDerived.py	2.0 KB
11.Hongbao.py	2.4 KB
/day08/代码/Day08/
dtc_model.m_01.npy	0.1 KB
dtc_model.m_04.npy	0.1 KB
DictVect.py	0.6 KB
dtc_model.m	0.8 KB
KNNIris.py	1.1 KB
KNNIris_K.py	1.1 KB
testSaveModel.py	1.9 KB
Tantanic.py	4.5 KB
dtc_model.m_02.npy	5.1 KB
dtc_model.m_03.npy	17.8 KB
rfc_model.m	18.9 KB
tantanic.txt	116.9 KB
/day05/代码/Day05/
1.2Matplotlib.py	0.1 KB
1.3Matplotlib.py	0.3 KB
2.0legend.py	0.5 KB
1.2Pandas.py	0.5 KB
1.5figure.py	0.6 KB
1.9legend.py	0.6 KB
1.8grid.py	0.6 KB
1.4Matpltlib.py	0.6 KB
1.0estimatePI.py	0.7 KB
4.0Scipy.py	0.9 KB
1.1Numpy.py	1.0 KB
1.6figureDemo.py	1.0 KB
3.1MatplotlibTatal1.py	1.0 KB
3.0MatplotlibTotal.py	1.0 KB
1.7MatplotlibDemo.py	1.3 KB
/day06/代码/Day06/
SklearnTest.txt	0.2 KB
GradientDescent.py	0.5 KB
2.0DigitsShow.py	0.5 KB
lovesstory.dot	0.8 KB
LoveStory.py	1.4 KB
2.0DigitsIdentify.py	4.1 KB
Regression.py	10.1 KB
lovestory.pdf	24.0 KB
/虚拟机安装包及ubuntu16.04/VMware/
key.txt	0.2 KB
VMwareworkstation_full_12.1.0.2487.1453173744.exe	307.5 MB
/day03/代码/Day03/
3.3shuffleNumber.py	0.2 KB
3.3zip.py	0.3 KB
1.5str.py	0.3 KB
1.1package.py	0.3 KB
1.6formatOutput.py	0.4 KB
1.2import.py	0.5 KB
1.0encoding.py	0.6 KB
1.4input.py	0.7 KB
1.3NumbericType.py	0.9 KB
2.0randomNumber.py	1.1 KB
3.1list.py	1.2 KB
3.2listFunction.py	1.4 KB
3.0list_tuple_dict_set.py	1.4 KB
/提取笔记部分供大家学习/
最大熵模型.txt	0.3 KB
机器学习必备书籍.txt	0.5 KB
机器学习第9天.txt	6.6 KB
机器学习第7天笔记.txt	6.9 KB
机器学习第8天笔记.txt	7.1 KB
day05--课堂笔记 (2).docx	52.1 KB
day04--课堂笔记.docx	52.5 KB
day06--课堂笔记.docx	53.1 KB
day01--课堂笔记.docx	53.4 KB
day03--课堂笔记.docx	246.4 KB
/day01/课堂笔记/
大数据4V特征.txt	0.3 KB
新建文本文档 (2).txt	0.5 KB
你好吗？.png	16.7 KB
(机器学习概念参考)tb_cities.xls	58.4 KB
推荐.png	135.8 KB
大数据1.png	173.8 KB
机器学习概念的讲解.png	217.4 KB
day01--课堂笔记.docx	1.7 MB
数学基础回顾.pptx	2.8 MB
2.机器学习入门及概念详解.pdf	4.6 MB
/day06/课堂笔记/Day06/
3.3plotDemo.py	0.3 KB
2.1matplotlibDemo.py	0.3 KB
5.1plotstyle.py	0.4 KB
4.4legend.py	0.4 KB
4.3legend.py	0.4 KB
3.2figureDemo.py	0.5 KB
3.2plt.py	0.5 KB
2.2mappltlibDemo2.py	0.5 KB
3.1figure.py	0.5 KB
4.2grid.py	0.6 KB
1.2pca_1.py	0.6 KB
1.1pca.py	0.6 KB
5.2pro.py	0.9 KB
5.3proWay2.py	0.9 KB
4.1matplotlib1.py	0.9 KB
/Data/
Index.txt	0.3 KB
irisdata.txt	4.7 KB
wdbc.names	4.7 KB
breast-cancer-wisconsin.names	5.7 KB
wpbc.names	5.7 KB
breast-cancer-wisconsin.data	19.9 KB
unformatted-data.txt	21.4 KB
wpbc.data	44.2 KB
tantanic.txt	116.9 KB
wdbc.data	124.1 KB
agaricus.txt.test	183.6 KB
agaricus.txt.train	742.3 KB
/day04/代码/Day04/Numpy/
1.3arange.py	0.4 KB
1.4matrix.py	0.4 KB
1.1random.py	0.4 KB
1.2ndarray.py	0.7 KB
1.6NumpyCompute.py	1.3 KB
1.5numpy_function.py	2.0 KB
/day04/代码/Day04/Pandas/
1.1Series.py	0.4 KB
1.4Function.py	0.6 KB
1.3Compute.py	0.6 KB
1.2DataFrame.py	0.6 KB
1.5Compute2.py	1.1 KB
/day03/安装文档/2.Subime/sublime-python/
1.sublime安装及调试步骤.md	0.4 KB
2.Sublime安装PackageControl.md	1.6 KB
4.sublime配置Python2.md	3.1 KB
3.sublime配置python安装环境.md	7.3 KB
pic5.jpg	9.7 KB
pic3.jpg	17.5 KB
pic2.jpg	18.6 KB
pic4.jpg	36.7 KB
pic6.jpg	36.9 KB
pic1.jpg	39.5 KB
/day09/课件/
svm1.txt	0.5 KB
1.聚类分析.pdf	1.3 MB
2.SVM支持向量机.pdf	2.2 MB
/day06/课件/代码/Day06/
GradientDescent.py	0.5 KB
2.0DigitsShow.py	0.5 KB
lovesstory.dot	0.8 KB
LoveStory.py	1.4 KB
2.0DigitsIdentify.py	4.1 KB
Regression.py	10.1 KB
lovestory.pdf	24.0 KB
/day05/代码/Day05/ML/
1.2Digits.py	0.5 KB
1.1DigitsShow.py	0.5 KB
2.0DigitsIdentify.py	2.1 KB
/day03/安装文档/3.基础版本数据科学库安装/
安装numpy-mat-pandas.txt	0.6 KB
matplotlib-2.1.0-cp36-cp36m-win_amd64.whl	8.7 MB
pandas-0.21.0-cp36-cp36m-win_amd64.whl	9.1 MB
numpy-1.13.3-cp36-none-win_amd64.whl	13.1 MB
scipy-1.0.0-cp36-none-win_amd64.whl	30.8 MB
/day10/代码/Day10/
testCombineOverAndUnderSampling.py	1.0 KB
testImbanlance.py	1.4 KB
testImbalanceUndersampleing.py	1.5 KB
DataAnalysisPlot.py	2.6 KB
DataAnalysisTalent.py	2.7 KB
02TalentLossModelFeactureEnigeer.py	8.5 KB
DataTypeAnalysis.py	9.4 KB
train.csv	152.9 KB
/day07/代码/02决策树/
Demotree11.dot	1.0 KB
Tantannic.py	3.7 KB
tantanic.dot	16.1 KB
Demotree11.png	52.6 KB
tantanic.png	523.3 KB
/day09/代码/Day09/
LogisticRegression.py	1.1 KB
1.0BostanPrediction.py	1.8 KB
1.1BostanPrediction.py	3.4 KB
/day03/课堂笔记/
ubuntu安装Anaconda和Pycharm(补充的tensorflow安装).txt	1.4 KB
与或非等问题.png	19.0 KB
day03--课堂笔记.docx	246.4 KB
python360.chm	7.9 MB
/2.虚拟机安装包及ubuntu16.04（开课前发给学员）/
ubuntu安装Anaconda和Pycharm(补充的tensorflow安装).txt	1.4 KB
pycharm-community-2017.3.2.tar.gz	279.7 MB
Anaconda3-5.0.1-Linux-x86_64.sh	550.8 MB
/day07/代码/03Cart树和随机森林/CartTree_RandomForest/
CartTree_Regression.py	1.5 KB
RandomForest.py	1.8 KB
/day10/课堂笔记/
数据情况.txt	1.6 KB
推荐系统描述.txt	3.5 KB
机器学习第十天.txt	6.8 KB
imbalanced_learn-0.3.2-py3-none-any.whl	144.2 KB
scikit_learn-0.19.1-cp35-cp35m-win_amd64.whl	4.3 MB
/day03/课件/
ubuntu安装Anaconda和Pycharm(补充的tensorflow安装).txt	1.7 KB
Anaconda安装文档.docx	382.0 KB
Python数据科学入门（带标签）.pdf	541.0 KB
Python安装文档.docx	1.5 MB
python360.chm	7.9 MB
/day07/课堂笔记/
决策树笔记.txt	1.8 KB
机器学习第7天笔记.txt	6.9 KB
/day01/代码/01机器学习基础/
MNIST.py	3.5 KB
/day09/课堂笔记/
机器学习第9天修改版.txt	6.6 KB
机器学习第九天.txt	6.6 KB
脂肪和年龄数据.xlsx	19.2 KB
坐标轴作图.xlsx	22.1 KB
GBDT.pptx	742.3 KB
NativeBayes.pptx	1.8 MB
LR.pptx	1.9 MB
/day03/安装文档/5.pycharm安装及文档/
pycharm安装及快捷键.md	7.7 KB
pycharm-community-2016.3.1.exe	187.7 MB
/更多课件/
A-集群Hadoop服务分配参考文档（10）.xlsx	12.0 KB
损失函数.docx	27.6 KB
图像插值理论.docx	63.9 KB
卷积算子计算方法.docx	65.9 KB
知识图谱.pdf	531.8 KB
SGD2.gif	731.2 KB
SGD1.gif	914.6 KB
xgboost-0.6+20171121-cp35-cp35m-win_amd64.whl	1.1 MB
模型评估与选择.pdf	1.7 MB
PCA主成分分析和SVD奇异值分解.pdf	4.6 MB
/day03/作业题/
作业1：蒙特卡罗算法求解近似值.docx	20.1 KB
Python题库.docx	53.1 KB
作业2：卷积算子计算方法.docx	66.2 KB
/day09/资料/07感知机和神经网络算法补充内容/
感知机.png	27.2 KB
模拟退火算法.png	28.0 KB
神经网络图片2.png	81.2 KB
BP神经网络算法图示1.png	87.3 KB
神经网络图示.png	102.2 KB
/day10/资料/07感知机和神经网络算法补充内容/
感知机.png	27.2 KB
模拟退火算法.png	28.0 KB
神经网络图片2.png	81.2 KB
BP神经网络算法图示1.png	87.3 KB
神经网络图示.png	102.2 KB
/day07/资料/07感知机和神经网络算法补充内容/
感知机.png	27.2 KB
模拟退火算法.png	28.0 KB
神经网络图片2.png	81.2 KB
BP神经网络算法图示1.png	87.3 KB
神经网络图示.png	102.2 KB
/day01/资料/
损失函数.docx	27.6 KB
/day10/课件/
机器学习简历书写.docx	48.6 KB
面试算法集合-电商二期.pdf	1.7 MB
（补充）模型推导.pdf	1.8 MB
7.感知机和神经网络.pdf	2.5 MB
/day01/资料/01机器学习概念补充/
分类原理.png	49.1 KB
概念讲解.png	129.7 KB
/day05/课堂笔记/
day05--课堂笔记 (2).docx	52.1 KB
/机器学习所需要的软件包/
Python题库.docx	53.1 KB
python-2.7.10.msi	18.4 MB
securcrt3264中文版.rar	24.6 MB
python-3.5.0-amd64.exe	29.5 MB
python-3.6.0-amd64.exe	31.5 MB
weka-3-9-0-x64.exe	50.1 MB
scala-2.12.0.msi	123.2 MB
jdk-7u71-windows-x64[64位].exe	135.8 MB
pycharm-community-2016.3.1.exe	187.7 MB
Anaconda2-4.1.1-Windows-x86_64.exe	357.8 MB
Anaconda3-4.2.0-Windows-x86_64.exe	410.4 MB
/day06/课堂笔记/
day06--课堂笔记.docx	53.1 KB
/机器学习所需要的软件包/R/
一张图中讲解R语言的核心知识V2.0.jpg	53.7 KB
R区别Python各有优劣.jpg	4.4 MB
R-3.2.3(安装环境）-win.exe	65.4 MB
RStudio-1.0.136.exe	85.9 MB
/day04/课堂笔记/
day04--课堂笔记.docx	63.5 KB
/day06/作业题/
（Python作业）卷积算子计算方法.docx	66.7 KB
/day01/课件/
机器学习简介.docx	299.9 KB
1.机器学习基础详细笔记.pdf	4.0 MB
R区别Python各有优劣.jpg	4.4 MB
/day06/课件/
day06-课堂笔记.docx	506.5 KB
/day04/课件/
Python数据科学入门（带标签）.pdf	541.0 KB
/day05/课件/
Python数据科学入门（带标签）.pdf	541.0 KB
/day08/课件/
2.贝叶斯分类.pdf	1.1 MB
1.KNN模型.pdf	1.3 MB
4.逻辑斯特回归.pdf	2.0 MB
3.线性回归.pdf	2.7 MB
/day07/课件/
3.CART树和随机森林.pdf	1.2 MB
2.决策树算法.pdf	3.0 MB
4.集成学习(Bagging&&AdaBoost)学生笔记.pdf	3.6 MB
/day02/课堂笔记/
day02--课堂笔记.docx	2.8 MB
/数学基础课件/
传智播客机器学习-高等数学基础.pptx	6.3 MB
传智播客机器学习线代基础.pptx	6.9 MB
传智播客机器学习概率基础.pptx	8.4 MB
/day03/安装文档/2.Subime/
Sublime Text Build 3126 x64 Setup.exe	8.5 MB
/day03/安装文档/1.python版本安装/
python-2.7.14.amd64.msi	20.2 MB
python-3.6.0-amd64.exe	31.5 MB
/day03/安装文档/4.Anaconda安装（参考第一天课件）/
Anaconda2-4.1.1-py27-Windows-x86_64.exe	357.8 MB
Anaconda3-4.2.0-py35-Windows-x86_64.exe	410.4 MB
Total files 317