800_SVU_MachineLearning：使用scikitlearn和pySpark的SVU Bootcamp机器学习
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2021-02-12
14:41:46
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800_SVU_MachineLearning-main.zip （27个子文件） 
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资源评论
