GitHub - ancestor9/aSSIST: 2022_1학기

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2022_1학기_AI 빅데이터 MBA과정

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Name		Name	Last commit message	Last commit date
Latest commit History 345 Commits
강의교재		강의교재
보조 scripts		보조 scripts
엑셀설명자료		엑셀설명자료
01_Introduction to Machine learning .ipynb		01_Introduction to Machine learning .ipynb
02_getting started.ipynb		02_getting started.ipynb
03_model evaluation.ipynb		03_model evaluation.ipynb
03_model_evaluation.ipynb		03_model_evaluation.ipynb
04_Bias and Variance tradeoff.ipynb		04_Bias and Variance tradeoff.ipynb
04_loss functions_bias variances.ipynb		04_loss functions_bias variances.ipynb
05_PCA.ipynb		05_PCA.ipynb
06_Nearest Neighbors.ipynb		06_Nearest Neighbors.ipynb
07_logistic regression.ipynb		07_logistic regression.ipynb
08_sgd.ipynb		08_sgd.ipynb
09_pycaret_classification_model.ipynb		09_pycaret_classification_model.ipynb
11_GNB with text mining.ipynb		11_GNB with text mining.ipynb
12_svc.ipynb		12_svc.ipynb
13_svm_hyperparametrs.ipynb		13_svm_hyperparametrs.ipynb
14_dt_ensemble.ipynb		14_dt_ensemble.ipynb
15_SHAP (eXAI).ipynb		15_SHAP (eXAI).ipynb
16_Imbalance data.ipynb		16_Imbalance data.ipynb
17_SMOTE imbalance data.ipynb		17_SMOTE imbalance data.ipynb
18_Unsupervised_clustering_Kmeans_DBSCAN.ipynb		18_Unsupervised_clustering_Kmeans_DBSCAN.ipynb
19_Clustering based on similarity matrix.ipynb		19_Clustering based on similarity matrix.ipynb
19_Simple 1D Kernel Density Estimation.ipynb		19_Simple 1D Kernel Density Estimation.ipynb
20_anomaly_detection.ipynb		20_anomaly_detection.ipynb
21_pycaret_clustering_anomaly.ipynb		21_pycaret_clustering_anomaly.ipynb
pandas-100-tricks.ipynb		pandas-100-tricks.ipynb