机器学习文件夹内的学习文件

[{"title":"（ 62 个子文件 329KB ） 机器学习文件夹内的学习文件","children":[{"title":"P14-Part2-Regression","children":[{"title":"Section 10 - Decision Tree Regression","children":[{"title":"Python","children":[{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"decision_tree_regression.py <span style='color:#111;'> 865B </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"decision_tree_regression.ipynb <span style='color:#111;'> 16.79KB </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"R","children":[{"title":"regression_template.R <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"decision_tree_regression.R <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Regression","children":[{"title":"Data.csv <span style='color:#111;'> 310.80KB </span>","children":null,"spread":false},{"title":"multiple_linear_regression.ipynb <span style='color:#111;'> 2.64KB </span>","children":null,"spread":false},{"title":"random_forest_regression.ipynb <span style='color:#111;'> 2.67KB </span>","children":null,"spread":false},{"title":"decision_tree_regression.ipynb <span style='color:#111;'> 2.64KB </span>","children":null,"spread":false},{"title":"polynomial_regression.ipynb <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false},{"title":"support_vector_regression.ipynb <span style='color:#111;'> 3.21KB </span>","children":null,"spread":false}],"spread":true},{"title":"Classification","children":[{"title":"support_vector_machine.ipynb <span style='color:#111;'> 2.72KB </span>","children":null,"spread":false},{"title":"random_forest_classification.ipynb <span style='color:#111;'> 2.81KB </span>","children":null,"spread":false},{"title":"kernel_svm.ipynb <span style='color:#111;'> 2.69KB </span>","children":null,"spread":false},{"title":"Data.csv <span style='color:#111;'> 19.17KB </span>","children":null,"spread":false},{"title":"k_nearest_neighbors.ipynb <span style='color:#111;'> 2.76KB </span>","children":null,"spread":false},{"title":"naive_bayes.ipynb <span style='color:#111;'> 2.68KB </span>","children":null,"spread":false},{"title":"logistic_regression.ipynb <span style='color:#111;'> 2.74KB </span>","children":null,"spread":false},{"title":"decision_tree_classification.ipynb <span style='color:#111;'> 2.79KB </span>","children":null,"spread":false}],"spread":true},{"title":"Section 6 - Simple Linear Regression","children":[{"title":"Python","children":[{"title":"Salary_Data.csv <span style='color:#111;'> 454B </span>","children":null,"spread":false},{"title":"simple_linear_regression.py <span style='color:#111;'> 1.19KB </span>","children":null,"spread":false},{"title":"simple_linear_regression.ipynb <span style='color:#111;'> 36.00KB </span>","children":null,"spread":false},{"title":".ipynb_checkpoints","children":[{"title":"simple_linear_regression-checkpoint.ipynb <span style='color:#111;'> 36.00KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"R","children":[{"title":"Salary_Data.csv <span style='color:#111;'> 454B </span>","children":null,"spread":false},{"title":"data_preprocessing_template.R <span style='color:#111;'> 446B </span>","children":null,"spread":false},{"title":"simple_linear_regression.R <span style='color:#111;'> 1.43KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Section 9 - Support Vector Regression (SVR)","children":[{"title":"Python","children":[{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"support_vector_regression.py <span style='color:#111;'> 1.47KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"support_vector_regression.ipynb <span style='color:#111;'> 35.19KB </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"R","children":[{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"data_preprocessing_template.R <span style='color:#111;'> 446B </span>","children":null,"spread":false},{"title":"polynomial_regression.R <span style='color:#111;'> 2.62KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 8.00KB </span>","children":null,"spread":false},{"title":"Section 11 - Random Forest Regression","children":[{"title":"Python","children":[{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"random_forest_regression.py <span style='color:#111;'> 888B </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"random_forest_regression.ipynb <span style='color:#111;'> 17.58KB </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"R","children":[{"title":"regression_template.R <span style='color:#111;'> 1.48KB </span>","children":null,"spread":false},{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"decision_tree_regression.R <span style='color:#111;'> 1.33KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Section 8 - Polynomial Regression","children":[{"title":"Python","children":[{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"polynomial_regression.py <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"polynomial_regression.ipynb <span style='color:#111;'> 51.31KB </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"R","children":[{"title":"Position_Salaries.csv <span style='color:#111;'> 246B </span>","children":null,"spread":false},{"title":"data_preprocessing_template.R <span style='color:#111;'> 446B </span>","children":null,"spread":false},{"title":"polynomial_regression.R <span style='color:#111;'> 2.62KB </span>","children":null,"spread":false}],"spread":true}],"spread":true},{"title":"Section 7 - Multiple Linear Regression","children":[{"title":"Python","children":[{"title":"50_Startups.csv <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false},{"title":"multiple_linear_regression.ipynb <span style='color:#111;'> 9.58KB </span>","children":null,"spread":false},{"title":"multiple_linear_regression.py <span style='color:#111;'> 1.08KB </span>","children":null,"spread":false}],"spread":true},{"title":".DS_Store <span style='color:#111;'> 6.00KB </span>","children":null,"spread":false},{"title":"R","children":[{"title":"multiple_linear_regression.R <span style='color:#111;'> 838B </span>","children":null,"spread":false},{"title":"data_preprocessing_template.R <span style='color:#111;'> 446B </span>","children":null,"spread":false},{"title":"50_Startups.csv <span style='color:#111;'> 2.38KB </span>","children":null,"spread":false}],"spread":true}],"spread":true}],"spread":true}],"spread":true}]