GitHub - milon-bs23/machine-learning-algorithm-practice-codebasic: All basic machine algorithm

Name		Name	Last commit message	Last commit date
Latest commit History 22 Commits
0_basics/numpy		0_basics/numpy
10_support_vectior_machine		10_support_vectior_machine
11_random_forest		11_random_forest
12_kfold_cross_validation		12_kfold_cross_validation
13_k_means_clustering		13_k_means_clustering
14_nbayes		14_nbayes
15_grid_search		15_grid_search
1_linear_regression-single-variable		1_linear_regression-single-variable
2_linear_reg_multivariate		2_linear_reg_multivariate
3_gradient_descent		3_gradient_descent
4_saving_trained_model		4_saving_trained_model
5_dummy_variables_OneHotEncoding		5_dummy_variables_OneHotEncoding
6_train_test_data_split		6_train_test_data_split
7_logistic_regression_binary		7_logistic_regression_binary
8_logistic_regression_multiclass		8_logistic_regression_multiclass
9_decision_tree		9_decision_tree