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Dive into ML and explore it from the basic part to understand the principles and the applications of different models.

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04-iris.ipynb
04-iris.ipynb
 
 
04-knn-exercise.ipynb
04-knn-exercise.ipynb
 
 
05-evaluation.ipynb
05-evaluation.ipynb
 
 
06-linearreg.ipynb
06-linearreg.ipynb
 
 
06_linearreg_exercise.ipynb
06_linearreg_exercise.ipynb
 
 
07-classification_metrics.ipynb
07-classification_metrics.ipynb
 
 
07-logreg.ipynb
07-logreg.ipynb
 
 
07-logreg_and_classification_metrics_excercise.ipynb
07-logreg_and_classification_metrics_excercise.ipynb
 
 
08-naivebayes.ipynb
08-naivebayes.ipynb
 
 
08-naivebyes_exercise1.ipynb
08-naivebyes_exercise1.ipynb
 
 
09-SVM_exercise.ipynb
09-SVM_exercise.ipynb
 
 
09-svm.ipynb
09-svm.ipynb
 
 
10-decision_tree.ipynb
10-decision_tree.ipynb
 
 
10-decision_tree_exercise.ipynb
10-decision_tree_exercise.ipynb
 
 
10_linear_model_ in_multi-classification.ipynb
10_linear_model_ in_multi-classification.ipynb
 
 
11-Bagging&Boosting.ipynb
11-Bagging&Boosting.ipynb
 
 
11-Bagging&Boosting_exercise.ipynb
11-Bagging&Boosting_exercise.ipynb
 
 
11_Naive_Bayes_Classifier&decision_making_tree.ipynb
11_Naive_Bayes_Classifier&decision_making_tree.ipynb
 
 
12.DecisionTree_ensemble.ipynb
12.DecisionTree_ensemble.ipynb
 
 
13.kernelized_support_vector_machine.ipynb
13.kernelized_support_vector_machine.ipynb
 
 
1_iris_classification_trial.ipynb
1_iris_classification_trial.ipynb
 
 
2_iris_classification_formal.ipynb
2_iris_classification_formal.ipynb
 
 
3_Supervised_learning_I.ipynb
3_Supervised_learning_I.ipynb
 
 
4_K-NN_classification_trial_I.ipynb
4_K-NN_classification_trial_I.ipynb
 
 
5_K-NN_regression_trail_I.ipynb
5_K-NN_regression_trail_I.ipynb
 
 
6_Linear_Model_trial_I.ipynb
6_Linear_Model_trial_I.ipynb
 
 
7_Ridge_regression_trial_I.ipynb
7_Ridge_regression_trial_I.ipynb
 
 
8_Lasso_trial_I.ipynb
8_Lasso_trial_I.ipynb
 
 
9_Linear_model_in_classification.ipynb
9_Linear_model_in_classification.ipynb
 
 
README.md
README.md
 
 
Source.gv
Source.gv
 
 
mytree.dot
mytree.dot
 
 
tree.dot
tree.dot
 
 

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basic_ML_learning

Dive into ML and explore it from the basic part to understand the principles and the applications of different models.

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Dive into ML and explore it from the basic part to understand the principles and the applications of different models.

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