GitHub - ancestor9/AI-

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
Python_데이터과학_머신러닝_20210823.zip		Python_데이터과학_머신러닝_20210823.zip
impurity_불순도.xlsx		impurity_불순도.xlsx
lab_1_1_getting started for scikit-learn machine learning.ipynb		lab_1_1_getting started for scikit-learn machine learning.ipynb
lab_1_1_getting started for scikit-learn machine learning_jaes.ipynb		lab_1_1_getting started for scikit-learn machine learning_jaes.ipynb
lab_1_2_model evaluation.ipynb		lab_1_2_model evaluation.ipynb
lab_1_2_model evaluation_jaes.ipynb		lab_1_2_model evaluation_jaes.ipynb
lab_1_3_imbalance data.ipynb		lab_1_3_imbalance data.ipynb
lab_1_3_imbalance data_jaes.ipynb		lab_1_3_imbalance data_jaes.ipynb
lab_2_1_Nearest Neighbors.ipynb		lab_2_1_Nearest Neighbors.ipynb
lab_2_1_Nearest Neighbors_jaes.ipynb		lab_2_1_Nearest Neighbors_jaes.ipynb
lab_2_2_Logistic regression.ipynb		lab_2_2_Logistic regression.ipynb
lab_2_2_Logistic regression_jaes.ipynb		lab_2_2_Logistic regression_jaes.ipynb
lab_2_3 & 3_1_SGD MLP.ipynb		lab_2_3 & 3_1_SGD MLP.ipynb
lab_3_2_gaussianNB with text mining.ipynb		lab_3_2_gaussianNB with text mining.ipynb
lab_3_3_svm.ipynb		lab_3_3_svm.ipynb
lab_3_3_svm_hyperparameters.ipynb		lab_3_3_svm_hyperparameters.ipynb
lab_3_4_bias_variance.ipynb		lab_3_4_bias_variance.ipynb
lab_4_dt_ensemble.ipynb		lab_4_dt_ensemble.ipynb
lab_4_실습코드.ipynb		lab_4_실습코드.ipynb
lab_5_1_Multiclass and multioutput algorithms.ipynb		lab_5_1_Multiclass and multioutput algorithms.ipynb
lab_5_2_pycaret & interpretability.ipynb		lab_5_2_pycaret & interpretability.ipynb
lab_5_3_model agnostic interpretability (eXAI).ipynb		lab_5_3_model agnostic interpretability (eXAI).ipynb
lab_6_1_feature selection methods.ipynb		lab_6_1_feature selection methods.ipynb
lab_6_2_Boruta_algorithm.ipynb		lab_6_2_Boruta_algorithm.ipynb
lab_6_2_genetic algorithm.ipynb		lab_6_2_genetic algorithm.ipynb
lab_6_3_PCA.ipynb		lab_6_3_PCA.ipynb
lab_6_실습코드_fashion minst classification with pca.ipynb		lab_6_실습코드_fashion minst classification with pca.ipynb
lab_7_1_Imbalance.ipynb		lab_7_1_Imbalance.ipynb
lab_7_2_Imbalanced data handling.ipynb		lab_7_2_Imbalanced data handling.ipynb
lab_7_실습코드_AV_Agriculture_Random_Forest_with_SMOTE.ipynb		lab_7_실습코드_AV_Agriculture_Random_Forest_with_SMOTE.ipynb
lab_8_1_clustering methods.ipynb		lab_8_1_clustering methods.ipynb
lab_8_2_anomaly_detection.ipynb		lab_8_2_anomaly_detection.ipynb
lab_8_3_anomaly_detection_Unsupervised learning.ipynb		lab_8_3_anomaly_detection_Unsupervised learning.ipynb
lab_8_4_anomaly_detection_pyOD.ipynb		lab_8_4_anomaly_detection_pyOD.ipynb
lab_8_5_anomaly_detection_pycaret.ipynb		lab_8_5_anomaly_detection_pycaret.ipynb
lab_8_실습코드_imbalance_Ensemble_Clustering_anomaly models.ipynb		lab_8_실습코드_imbalance_Ensemble_Clustering_anomaly models.ipynb
lab_master_pycaret_data_driven.ipynb		lab_master_pycaret_data_driven.ipynb
lab_master_pycaret_model_driven.ipynb		lab_master_pycaret_model_driven.ipynb
lift.xlsx		lift.xlsx
sgd_sample.xlsx		sgd_sample.xlsx

ancestor9/AI-_20210823

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