아이패드로 썼던 Add study 모음

통계적머신러닝 강의를 들으며 따로 공부했던 Add Study들의 기록이다! 💕
과제가 엄청 많았지만, 과제 나올때마다 따로 공부를 더해 기록했다 (❁´◡`❁)

 

1. Weighted KNN & Kernel Density Function (KNN과 밀도추정)

https://blog.naver.com/goodgpt/222107862105

Weighted KNN & KDE(커널밀도추정)

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2. Synthetic Oversampling for imbalanced data(SMOTE, ADASYN)

https://blog.naver.com/goodgpt/222095847248

Synthetic Oversampling for imbalanced data(SMOTE, ADASYN)

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3. Logistic Definition

blog.naver.com/goodgpt/222109847685

Logistic Definition

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4. Discriminant Analysis (LDA, QDA, Naive Bayes)

blog.naver.com/goodgpt/222114195216

판별분석 (LDA, QDA) + 베이지안모델

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5. Decision Tree

blog.naver.com/goodgpt/222115598592

Decision tree(의사결정트리)

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6. Dimension reduction - PCA with SVD 

blog.naver.com/goodgpt/222135779825

Dimension reduction - PCA with SVD

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7. Clustering(K-means, DBSCAN, HDBSCAN)

https://blog.naver.com/goodgpt/222159078743

Clustering(K-means, DBSCAN, HDBSCAN)