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Week3(Classification)

별 alealoisi 36,060 KB • 19 파일

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.ipynb_checkpoints
.ipynb_checkpoints
3.1-Classification.pptx
3.1-Classification.pptx
3.2-KNearestNeighbours.pptx
3.2-KNearestNeighbours.pptx
3.3-Evaluation metrics in classification.pptx
3.3-Evaluation metrics in classification.pptx
3.4-Decision trees.pptx
3.4-Decision trees.pptx
3.5-Building Decision Trees.pptx
3.5-Building Decision Trees.pptx
3.6-LogisticRegression.pptx
3.6-LogisticRegression.pptx
3.7-Linear VS Logistic Regression.pptx
3.7-Linear VS Logistic Regression.pptx
3.8-Logistic regression training.pptx
3.8-Logistic regression training.pptx
3.9-Support Vector Machine.pptx
3.9-Support Vector Machine.pptx
cell_samples.csv
cell_samples.csv
ChurnData.csv
ChurnData.csv
drug200.csv
drug200.csv
drugtree.png
drugtree.png
ML0101EN-Clas-Decision-Trees-drug-py-v1.ipynb
ML0101EN-Clas-Decision-Trees-drug-py-v1.ipynb
ML0101EN-Clas-K-Nearest-neighbors-CustCat-py-v1.ipynb
ML0101EN-Clas-K-Nearest-neighbors-CustCat-py-v1.ipynb
ML0101EN-Clas-Logistic-Regression-churn-py-v1.ipynb
ML0101EN-Clas-Logistic-Regression-churn-py-v1.ipynb
ML0101EN-Clas-SVM-cancer-py-v1.ipynb
ML0101EN-Clas-SVM-cancer-py-v1.ipynb
teleCust1000t.csv
teleCust1000t.csv
Test.png
Test.png

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