邹博机器学习ppt+code（全）

[{"title":"（38个子文件169.35MB）邹博机器学习ppt+code（全）","children":[{"title":"ppt_code","children":[{"title":"13.SVM.pdf <span style='color:#111;'>2.33MB</span>","children":null,"spread":false},{"title":"11.提升.pdf <span style='color:#111;'>1.68MB</span>","children":null,"spread":false},{"title":"18.EM代码.zip <span style='color:#111;'>13.86KB</span>","children":null,"spread":false},{"title":"12.XGBoost代码.zip <span style='color:#111;'>137.58KB</span>","children":null,"spread":false},{"title":"10.RandomForest代码.zip <span style='color:#111;'>32.44MB</span>","children":null,"spread":false},{"title":"22.主题模型实践.pdf <span style='color:#111;'>2.39MB</span>","children":null,"spread":false},{"title":"8.回归实践.pdf <span style='color:#111;'>2.78MB</span>","children":null,"spread":false},{"title":"15.聚类.pdf <span style='color:#111;'>6.59MB</span>","children":null,"spread":false},{"title":"14.SVM实践.pdf <span style='color:#111;'>1.85MB</span>","children":null,"spread":false},{"title":"1.机器学习与数学分析.pdf <span style='color:#111;'>5.92MB</span>","children":null,"spread":false},{"title":"6.7.WordCloud.zip <span style='color:#111;'>1.36KB</span>","children":null,"spread":false},{"title":"17.EM算法.pdf <span style='color:#111;'>1.76MB</span>","children":null,"spread":false},{"title":"16.聚类实践.pdf <span style='color:#111;'>1.98MB</span>","children":null,"spread":false},{"title":"18.EM算法实践.pdf <span style='color:#111;'>1.62MB</span>","children":null,"spread":false},{"title":"5.Python库.pdf <span style='color:#111;'>4.20MB</span>","children":null,"spread":false},{"title":"23.HMM.pdf <span style='color:#111;'>1.71MB</span>","children":null,"spread":false},{"title":"19.贝叶斯网络.pdf <span style='color:#111;'>3.34MB</span>","children":null,"spread":false},{"title":"4.Python基础.pdf <span style='color:#111;'>1.46MB</span>","children":null,"spread":false},{"title":"14.SVM代码.zip <span style='color:#111;'>13.85MB</span>","children":null,"spread":false},{"title":"4.Python代码.zip <span style='color:#111;'>15.36KB</span>","children":null,"spread":false},{"title":"2.概率论与贝叶斯先验.pdf <span style='color:#111;'>3.95MB</span>","children":null,"spread":false},{"title":"9.决策树和随机森林.pdf <span style='color:#111;'>2.69MB</span>","children":null,"spread":false},{"title":"22.LDA_代码.zip <span style='color:#111;'>5.32MB</span>","children":null,"spread":false},{"title":"8.Regression代码.zip <span style='color:#111;'>37.89KB</span>","children":null,"spread":false},{"title":"6.数据清洗和特征选择.pdf <span style='color:#111;'>2.12MB</span>","children":null,"spread":false},{"title":"12.XGBoost实践.pdf <span style='color:#111;'>1.38MB</span>","children":null,"spread":false},{"title":"24.HMM_代码.zip <span style='color:#111;'>32.30MB</span>","children":null,"spread":false},{"title":"7.回归.pdf <span style='color:#111;'>4.20MB</span>","children":null,"spread":false},{"title":"6.Data代码.zip <span style='color:#111;'>13.75MB</span>","children":null,"spread":false},{"title":"5.Package代码.zip <span style='color:#111;'>746.20KB</span>","children":null,"spread":false},{"title":"10.决策树和随机森林实践.pdf <span style='color:#111;'>1.48MB</span>","children":null,"spread":false},{"title":"24.HMM实践.pdf <span style='color:#111;'>2.72MB</span>","children":null,"spread":false},{"title":"20.BayesianNetwork代码.zip <span style='color:#111;'>2.59MB</span>","children":null,"spread":false},{"title":"20.贝叶斯网络实践.pdf <span style='color:#111;'>1.41MB</span>","children":null,"spread":false},{"title":"21.主题模型.pdf <span style='color:#111;'>2.69MB</span>","children":null,"spread":false},{"title":"3.矩阵和线性代数.pdf <span style='color:#111;'>2.25MB</span>","children":null,"spread":false},{"title":"16.Clustering代码.zip <span style='color:#111;'>3.15MB</span>","children":null,"spread":false},{"title":"xgboost-master-(windows上的编译包).zip <span style='color:#111;'>1.13MB</span>","children":null,"spread":false}],"spread":false}],"spread":true}]