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🧠 머신러닝 실습 (Machine Learning Practice)

머신러닝 수업에서 다룬 핵심 알고리즘을 실제 데이터에 적용하여 실습한 Jupyter Notebook 파일들입니다.

These Jupyter Notebook files demonstrate the application of core algorithms covered in machine learning classes to real-world data.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Iris_DecisionTree_Bagging_Adaboost[251114].ipynb		Iris_DecisionTree_Bagging_Adaboost[251114].ipynb
MNIST_PCA_tSNE[251205].ipynb		MNIST_PCA_tSNE[251205].ipynb
NeuralNetwork_Boston_CatDog_Practice[251107].ipynb		NeuralNetwork_Boston_CatDog_Practice[251107].ipynb
README.md		README.md
assignment_logistic[20221266_전시훈_250926].ipynb		assignment_logistic[20221266_전시훈_250926].ipynb
backpropagation_mlp[20221266_전시훈_251031].ipynb		backpropagation_mlp[20221266_전시훈_251031].ipynb
breast_cancer_RF_PCA_clustering[251128].ipynb		breast_cancer_RF_PCA_clustering[251128].ipynb
k-nn_svr_svc[20221266_전시훈_251017].ipynb		k-nn_svr_svc[20221266_전시훈_251017].ipynb
linear_logistic_regression[20221266_전시훈_250919].ipynb		linear_logistic_regression[20221266_전시훈_250919].ipynb