ML-study

<데싸노트의 실전에서 통하는 머신러닝>을 공부하며 내용을 정리하고 실습한 노트북입니다.

Name		Name	Last commit message	Last commit date
Latest commit History 16 Commits
04. Linear_Regression.ipynb		04. Linear_Regression.ipynb
05. Logistic_Regression.ipynb		05. Logistic_Regression.ipynb
06_KNN.ipynb		06_KNN.ipynb
07_Naive_Bayes.ipynb		07_Naive_Bayes.ipynb
08_Decision_Tree.ipynb		08_Decision_Tree.ipynb
09_RandomForest.ipynb		09_RandomForest.ipynb
10_XGBoost.ipynb		10_XGBoost.ipynb
11. LightGBM.ipynb		11. LightGBM.ipynb
12_K_means_Clustering.ipynb		12_K_means_Clustering.ipynb
13_주성분분석(PCA).ipynb		13_주성분분석(PCA).ipynb
README.md		README.md

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