文件名称：800_SVU_MachineLearning：使用scikitlearn和pySpark的SVU Bootcamp机器学习
文件大小：121.9MB
文件格式：ZIP
更新时间：2024-03-04 08:28:26
JupyterNotebook
800_SVU_机器学习 带有scikitlearn和pySpark的SVU Bootcamp机器学习
【文件预览】：
800_SVU_MachineLearning-main
----sec07_GD_AdaBoost.7z(7.46MB)
----csv_data.7z(1.97MB)
----sec13_ReinforceLearning.7z(4.42MB)
----sec08_GBClassification_SVM.7z(6.12MB)
----sec05_Cluster_NaiveBayes.7z(3.99MB)
----sec14_SparkContext_RDD_DataFrame.7z(2.3MB)
----sec02_Statistics.7z(7.05MB)
----sec10_NLP.7z(21.75MB)
----sec07_GradientDescent_AdaBoost()
--------49_AdaBoost.pptx(442KB)
--------48_StochasticGradientDescent.ipynb(27KB)
--------49_PythonAdaBoost.ipynb(803KB)
--------47_GradientDescent.pptx(391KB)
--------46_ChainRule.pptx(447KB)
--------50_GradientBoost_MainIdea.pptx(404KB)
--------48_StochasticGradientDescent.pptx(583KB)
----sec00_Reinforce_GeorgiaTech.7z(11.16MB)
----sec06_DecisionTree_RandomForest.7z(5.24MB)
----sec15_SparkMMlib_Serializer.7z(1.92MB)
----sec03_LogisticRegression.7z(3.4MB)
----sec01_Basic.7z(8.09MB)
----sec00_Reinforce.7z(15.66MB)
----sec12_RecommenderSystem.7z(4.08MB)
----sec11_SpamClassifier.7z(3.1MB)
----sec09_XGBoost_NN.7z(5.96MB)
----README.md(85B)
----sec04_PCA.7z(5.58MB)
----000_MachineLearning_Syllabus_V05.pptx(62KB)