[Machine learning] 14. 주성분 분석 2022.02.24 machinelearning dimensionality reduction explained variance machine learning principal components analysis
[Machine learning] 13. K-평균 2022.02.23 machinelearning cluster center elbow method k-means machine learning
[Machine learning] 12. 군집 알고리즘 2022.02.22 machinelearning cluster histogram machine learning unsupervised learning
[Machine learning] 11. 트리의 앙상블 2022.02.19 machinelearning ensemble learning gradient boosting machine learning random forest extra tree
[Machine learning] 10. 교차 검증과 그리드 서치 2022.02.17 machinelearning cross validation grid search machine learning random search validation set
[Machine learning] 9. 결정 트리 2022.02.16 machinelearning decision tree feature importance impurity information gain machine learning
[Machine learning] 8. 확률적 경사 하강법 2022.02.15 machinelearning epoch loss function machine learning stochastic gradient descent
[Machine learning] 7. 로지스틱 회귀 2022.02.13 machinelearning logistic regression machine learning multi-class classification sigmoid function softmax function
[Machine learning] 6. 특성 공학과 규제 2022.01.31 machinelearning feature engineering machine learning multiple regression
[Machine learning] 5. 선형회귀 2022.01.31 machinelearning coefficient linear regression machine learning model parameter polynomial regression weight
[Machine learning] 4. k-최근접 이웃 회귀 2022.01.30 machinelearning coefficient of determination k-neighbor regressor machine learning overfitting regression underfitting
[Machine learning] 3. 데이터 전처리 2022.01.30 machinelearning broadcasting data preprocessing machine learning standard score
[Machine learning] 2. 훈련 세트와 테스트 세트 2022.01.28 machinelearning machine learning supervised learning test set train set unsupervised learning
[Machine learning] 1. 마켓과 머신러닝 2022.01.28 machinelearning accuracy feature K-Nearest Neighbors machine learning training
