温州大学机器学习课件以及代码

上传者: u012410628 | 上传时间: 2023-12-08 10:12:18 | 文件大小: 289.91MB | 文件类型: ZIP
温州大学机器学习课件以及代码,欢迎对机器学习,深度学习感兴趣的朋友进行下载

文件下载

资源详情

[{"title":"( 267 个子文件 289.91MB ) 温州大学机器学习课件以及代码","children":[{"title":"abc <span style='color:#111;'> 1B </span>","children":null,"spread":false},{"title":"config <span style='color:#111;'> 276B </span>","children":null,"spread":false},{"title":"Energy_and_Water_Data_Disclosure_for_Local_2016.csv <span style='color:#111;'> 7.90MB </span>","children":null,"spread":false},{"title":"training_features.csv <span style='color:#111;'> 1.29MB </span>","children":null,"spread":false},{"title":"testing_features.csv <span style='color:#111;'> 569.06KB </span>","children":null,"spread":false},{"title":"no_score.csv <span style='color:#111;'> 371.52KB </span>","children":null,"spread":false},{"title":"spx.csv <span style='color:#111;'> 146.59KB </span>","children":null,"spread":false},{"title":"titanic_openml.csv <span style='color:#111;'> 114.98KB </span>","children":null,"spread":false},{"title":"foo.csv <span style='color:#111;'> 83.62KB </span>","children":null,"spread":false},{"title":"Pokemon.csv <span style='color:#111;'> 39.98KB </span>","children":null,"spread":false},{"title":"training_labels.csv <span style='color:#111;'> 32.30KB </span>","children":null,"spread":false},{"title":"svmdata2.csv <span style='color:#111;'> 16.68KB </span>","children":null,"spread":false},{"title":"testing_labels.csv <span style='color:#111;'> 13.86KB </span>","children":null,"spread":false},{"title":"ex7data2.csv <span style='color:#111;'> 10.81KB </span>","children":null,"spread":false},{"title":"svmdata3val.csv <span style='color:#111;'> 8.72KB </span>","children":null,"spread":false},{"title":"svmdata3.csv <span style='color:#111;'> 4.46KB </span>","children":null,"spread":false},{"title":"pcadata.csv <span style='color:#111;'> 1.79KB </span>","children":null,"spread":false},{"title":"regress_data1.csv <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"svmdata1.csv <span style='color:#111;'> 817B </span>","children":null,"spread":false},{"title":"regress_data2.csv <span style='color:#111;'> 681B </span>","children":null,"spread":false},{"title":"student.csv <span style='color:#111;'> 275B </span>","children":null,"spread":false},{"title":"description <span style='color:#111;'> 73B </span>","children":null,"spread":false},{"title":"tree.dot <span style='color:#111;'> 4.58KB </span>","children":null,"spread":false},{"title":"tree_small.dot <span style='color:#111;'> 2.40KB </span>","children":null,"spread":false},{"title":"tree_2.dot <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":"exclude <span style='color:#111;'> 240B </span>","children":null,"spread":false},{"title":".gitignore <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"foo.h5 <span style='color:#111;'> 46.65KB </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 196B </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 196B </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 30B </span>","children":null,"spread":false},{"title":"HEAD <span style='color:#111;'> 21B </span>","children":null,"spread":false},{"title":"pack-ccb4a5842f21cc45c72975ede1ad5f3f63aecf88.idx <span style='color:#111;'> 20.46KB </span>","children":null,"spread":false},{"title":"index <span style='color:#111;'> 30.85KB </span>","children":null,"spread":false},{"title":"Predict a building's Energy Star score.ipynb <span style='color:#111;'> 5.83MB </span>","children":null,"spread":false},{"title":"Searborn.ipynb <span style='color:#111;'> 1.94MB </span>","children":null,"spread":false},{"title":"matplotlib50.ipynb <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"matplotlib-beginner.ipynb <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"matplotlib-beginner.ipynb <span style='color:#111;'> 1.20MB </span>","children":null,"spread":false},{"title":"ML-lesson13-Clustering.ipynb <span style='color:#111;'> 643.42KB </span>","children":null,"spread":false},{"title":"7.scipy-interpolate.ipynb <span style='color:#111;'> 597.84KB </span>","children":null,"spread":false},{"title":"3.scipy-linalg.ipynb <span style='color:#111;'> 511.40KB </span>","children":null,"spread":false},{"title":"ML-lesson12-svm.ipynb <span style='color:#111;'> 458.24KB </span>","children":null,"spread":false},{"title":"4.scipy-stats.ipynb <span style='color:#111;'> 307.47KB </span>","children":null,"spread":false},{"title":"10 Minutes to pandas.ipynb <span style='color:#111;'> 301.54KB </span>","children":null,"spread":false},{"title":"ML-lesson4-regression.ipynb <span style='color:#111;'> 238.13KB </span>","children":null,"spread":false},{"title":"2.scipy-optimize.ipynb <span style='color:#111;'> 229.91KB </span>","children":null,"spread":false},{"title":"pandas_beginner.ipynb <span style='color:#111;'> 187.26KB </span>","children":null,"spread":false},{"title":"5.scipy-integrate.ipynb <span style='color:#111;'> 182.58KB </span>","children":null,"spread":false},{"title":"10.scipy-spatial.ipynb <span style='color:#111;'> 159.73KB </span>","children":null,"spread":false},{"title":"plot_distribution.ipynb <span style='color:#111;'> 145.46KB </span>","children":null,"spread":false},{"title":"7_Discrete_Fourier_Transform_solutions.ipynb <span style='color:#111;'> 145.29KB </span>","children":null,"spread":false},{"title":"7_Discrete_Fourier_Transform.ipynb <span style='color:#111;'> 145.16KB </span>","children":null,"spread":false},{"title":"Pandas50.ipynb <span style='color:#111;'> 121.47KB </span>","children":null,"spread":false},{"title":"1.scipy-intro.ipynb <span style='color:#111;'> 110.64KB </span>","children":null,"spread":false},{"title":"ML-lesson11-ANN.ipynb <span style='color:#111;'> 108.72KB </span>","children":null,"spread":false},{"title":"100_Numpy_exercises.ipynb <span style='color:#111;'> 102.16KB </span>","children":null,"spread":false},{"title":"ML-lesson5-LR.ipynb <span style='color:#111;'> 98.97KB </span>","children":null,"spread":false},{"title":"ML-lesson9-DecisonTree.ipynb <span style='color:#111;'> 97.72KB </span>","children":null,"spread":false},{"title":"调参练习.ipynb <span style='color:#111;'> 95.05KB </span>","children":null,"spread":false},{"title":"ML-lesson8-KNN.ipynb <span style='color:#111;'> 92.95KB </span>","children":null,"spread":false},{"title":"6.scipy-signal.ipynb <span style='color:#111;'> 86.40KB </span>","children":null,"spread":false},{"title":"ML-lesson7-MachineLearningInAction.ipynb <span style='color:#111;'> 70.66KB </span>","children":null,"spread":false},{"title":"ML-lesson3-Math.ipynb <span style='color:#111;'> 59.73KB </span>","children":null,"spread":false},{"title":"9.scipy-ndimage.ipynb <span style='color:#111;'> 58.04KB </span>","children":null,"spread":false},{"title":"ML-lesson10-ensemble.ipynb <span style='color:#111;'> 57.01KB </span>","children":null,"spread":false},{"title":"ML-lesson14-DimensionalityReduction.ipynb <span style='color:#111;'> 55.53KB </span>","children":null,"spread":false},{"title":"Python_Basic.ipynb <span style='color:#111;'> 54.04KB </span>","children":null,"spread":false},{"title":"1.numpy-beginner.ipynb <span style='color:#111;'> 53.01KB </span>","children":null,"spread":false},{"title":"2.numpy.ipynb <span style='color:#111;'> 47.80KB </span>","children":null,"spread":false},{"title":"ML-lesson3-Scikit-learn.ipynb <span style='color:#111;'> 35.52KB </span>","children":null,"spread":false},{"title":"100_Numpy_exercises_with_hint.ipynb <span style='color:#111;'> 34.50KB </span>","children":null,"spread":false},{"title":"13_Statistics_solutions.ipynb <span style='color:#111;'> 33.51KB </span>","children":null,"spread":false},{"title":"100_Numpy_exercises_no_solution.ipynb <span style='color:#111;'> 33.22KB </span>","children":null,"spread":false},{"title":"13_Statistics.ipynb <span style='color:#111;'> 32.13KB </span>","children":null,"spread":false},{"title":"9_Mathematical_functions_solutions.ipynb <span style='color:#111;'> 23.13KB </span>","children":null,"spread":false},{"title":"9_Mathematical_functions.ipynb <span style='color:#111;'> 18.14KB </span>","children":null,"spread":false},{"title":"1_Array_creation_routines_Solution.ipynb <span style='color:#111;'> 17.77KB </span>","children":null,"spread":false},{"title":"2_Array_manipulation_routines_Solutions.ipynb <span style='color:#111;'> 17.54KB </span>","children":null,"spread":false},{"title":"ML-lesson15-AssociationRules.ipynb <span style='color:#111;'> 17.27KB </span>","children":null,"spread":false},{"title":"1_Array_creation_routines.ipynb <span style='color:#111;'> 15.38KB </span>","children":null,"spread":false},{"title":"2_Array_manipulation_routines.ipynb <span style='color:#111;'> 14.56KB </span>","children":null,"spread":false},{"title":"5_Input_and_Output_Solutions.ipynb <span style='color:#111;'> 14.48KB </span>","children":null,"spread":false},{"title":"5_Input_and_Output.ipynb <span style='color:#111;'> 13.61KB </span>","children":null,"spread":false},{"title":"3_String_operations_solutions.ipynb <span style='color:#111;'> 12.63KB </span>","children":null,"spread":false},{"title":"3_String_operations.ipynb <span style='color:#111;'> 12.07KB </span>","children":null,"spread":false},{"title":"Day_02.ipynb <span style='color:#111;'> 11.47KB </span>","children":null,"spread":false},{"title":"6_Linear_algebra_Solutions.ipynb <span style='color:#111;'> 10.81KB </span>","children":null,"spread":false},{"title":"ML-lesson6-NB.ipynb <span style='color:#111;'> 9.76KB </span>","children":null,"spread":false},{"title":"Day_03.ipynb <span style='color:#111;'> 9.74KB </span>","children":null,"spread":false},{"title":"12_Sorting_searching_and_counting_Solutions.ipynb <span style='color:#111;'> 9.39KB </span>","children":null,"spread":false},{"title":"6_Linear_algebra.ipynb <span style='color:#111;'> 9.04KB </span>","children":null,"spread":false},{"title":"Day_23.ipynb <span style='color:#111;'> 8.66KB </span>","children":null,"spread":false},{"title":"Day_10.ipynb <span style='color:#111;'> 8.46KB </span>","children":null,"spread":false},{"title":"12_Sorting_searching_and_counting.ipynb <span style='color:#111;'> 8.12KB </span>","children":null,"spread":false},{"title":"Day_11.ipynb <span style='color:#111;'> 8.05KB </span>","children":null,"spread":false},{"title":"Day_16.ipynb <span style='color:#111;'> 7.91KB </span>","children":null,"spread":false},{"title":"Day_06.ipynb <span style='color:#111;'> 7.42KB </span>","children":null,"spread":false},{"title":"Day_01.ipynb <span style='color:#111;'> 7.01KB </span>","children":null,"spread":false},{"title":"Day_08.ipynb <span style='color:#111;'> 7.01KB </span>","children":null,"spread":false},{"title":"......","children":null,"spread":false},{"title":"<span style='color:steelblue;'>文件过多,未全部展示</span>","children":null,"spread":false}],"spread":true}]

评论信息

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明