scikit-learn-study

이수안 컴퓨터 연구소 (SuanLab) www.suanlab.com

인공지능 파이썬으로 배우는 머신러닝과 딥러닝, 천인국 교수

Name		Name	Last commit message	Last commit date
Latest commit History 66 Commits
data		data
.gitignore		.gitignore
1. scikit_learn_basic.ipynb		1. scikit_learn_basic.ipynb
10. Manifold_Learning.ipynb		10. Manifold_Learning.ipynb
11. Decomposition.ipynb		11. Decomposition.ipynb
12. Recommender_System.ipynb		12. Recommender_System.ipynb
2. Linear_Models.ipynb		2. Linear_Models.ipynb
3. Logistic_Regression.ipynb		3. Logistic_Regression.ipynb
4. Support_Vector_Machines.ipynb		4. Support_Vector_Machines.ipynb
5. K_Nearest_Neighbor.ipynb		5. K_Nearest_Neighbor.ipynb
6. Naive_Bayes_Classification.ipynb		6. Naive_Bayes_Classification.ipynb
7. Decision_Tree.ipynb		7. Decision_Tree.ipynb
8. Ensemble.ipynb		8. Ensemble.ipynb
8.1 XGBoost_LightGBM.ipynb		8.1 XGBoost_LightGBM.ipynb
9. Clustering.ipynb		9. Clustering.ipynb
README.md		README.md
api_use_example.py		api_use_example.py
dataset_example.py		dataset_example.py
k-means_1.ipynb		k-means_1.ipynb
k-means_2.ipynb		k-means_2.ipynb
knn.ipynb		knn.ipynb
linear_regression.ipynb		linear_regression.ipynb

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