Name		Name	Last commit message	Last commit date
06-convnet.ipynb		06-convnet.ipynb
1. python 기초_answer.ipynb		1. python 기초_answer.ipynb
10. python 시각화2.ipynb		10. python 시각화2.ipynb
11. 데이터 전처리.ipynb		11. 데이터 전처리.ipynb
12. KNN.ipynb		12. KNN.ipynb
13. naive_bayes (수정).ipynb		13. naive_bayes (수정).ipynb
13. naive_bayes.ipynb		13. naive_bayes.ipynb
14. Decision_tree.ipynb		14. Decision_tree.ipynb
15. clustering.ipynb		15. clustering.ipynb
16. RandomForest.ipynb		16. RandomForest.ipynb
2. Series_answer.ipynb		2. Series_answer.ipynb
3. DataFrame_answer.ipynb		3. DataFrame_answer.ipynb
4. 데이터 합치기(merge, concat)_answer.ipynb		4. 데이터 합치기(merge, concat)_answer.ipynb
5. 계층 색인_answer.ipynb		5. 계층 색인_answer.ipynb
6. 통계, 정렬.ipynb		6. 통계, 정렬.ipynb
7. 집계 (Groupby, pivot_table).ipynb		7. 집계 (Groupby, pivot_table).ipynb
8. 시계열 데이터(datetime) 소개 및 푸드코트 판매량 분석 및 시각화.ipynb		8. 시계열 데이터(datetime) 소개 및 푸드코트 판매량 분석 및 시각화.ipynb
9. python 시각화.ipynb		9. python 시각화.ipynb
Class1_GLM_Poisson_and_Gradient_Descent.ipynb		Class1_GLM_Poisson_and_Gradient_Descent.ipynb
Class1_Intro to Gradient Descent.ipynb		Class1_Intro to Gradient Descent.ipynb
Class1_introduction.ipynb		Class1_introduction.ipynb
Class2_GLM_Logistic.ipynb		Class2_GLM_Logistic.ipynb
Class2_GLM_Poisson_and_Gradient_Descent.ipynb		Class2_GLM_Poisson_and_Gradient_Descent.ipynb
Class2_lists-and-loops.ipynb		Class2_lists-and-loops.ipynb
Class3_Multiple Logistic Regression.ipynb		Class3_Multiple Logistic Regression.ipynb
Class3_Multiple_Logistic_Updated.ipynb		Class3_Multiple_Logistic_Updated.ipynb
Class3__MNIST NN Tensorflow 2.0.ipynb		Class3__MNIST NN Tensorflow 2.0.ipynb
README.md		README.md
class3_file-io.ipynb		class3_file-io.ipynb
class4_dictionaries.ipynb		class4_dictionaries.ipynb
class4_dictionaries_ver2.ipynb		class4_dictionaries_ver2.ipynb

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