{"id":5609,"date":"2025-05-09T14:25:25","date_gmt":"2025-05-09T05:25:25","guid":{"rendered":"http:\/\/mylittleforest.kr\/wordpress\/?p=5609"},"modified":"2025-05-15T17:01:11","modified_gmt":"2025-05-15T08:01:11","slug":"%ed%8c%8c%ec%9d%b4%ec%8d%ac-%eb%a8%b8%ec%8b%a0%eb%9f%ac%eb%8b%9d","status":"publish","type":"post","link":"http:\/\/mylittleforest.kr\/wordpress\/blog\/2025\/05\/09\/5609\/","title":{"rendered":"\ud30c\uc774\uc36c \uba38\uc2e0\ub7ec\ub2dd"},"content":{"rendered":"\n

2025-27-100<\/p>\n\n\n\n

\uc139\uc158 2. \ud30c\uc774\uc36c \uae30\ubc18\uc758 \uba38\uc2e0\ub7ec\ub2dd\uacfc \uc0dd\ud0dc\uacc4 \uc774\ud574<\/h2>\n\n\n\n

2. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uac1c\ub150<\/p>\n\n\n\n

\uba38\uc2e0\ub7ec\ub2dd\uc758 \uc720\ud615<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n
\"\"<\/figure>\n\n\n\n

3. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc720\ud615\uacfc \ub370\uc774\ud130\uc758 \uc911\uc694\uc131<\/p>\n\n\n\n

\ud30c\uc774\uc36c \ub7ec\ub2dd\uba38\uc2e0 \uc0dd\ud0dc\uacc4\ub97c \uad6c\uc131\ud558\ub294 \uc8fc\uc694 \ud328\ud0a4\uc9c0<\/strong><\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

4. \ud30c\uc774\uc36c \uae30\ubc18 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud2b9\uc9d5\ubc0f \uc7a5\uc810\uacfc \uad6c\uc131\uc694\uc18c<\/p>\n\n\n\n

<\/p>\n\n\n\n

5. \ud30c\uc774\uc36c\uae30\ubc18 \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc704\ud55c SW\uc758 \uc124\uce58<\/p>\n\n\n\n

sklearn \uc5c5\uadf8\ub808\uc774\ub4dc<\/p>\n\n\n\n

Anaconda Prompt \uad00\ub9ac\uc790\uad8c\ud55c\uc73c\ub85c \uc5f4\uae30<\/p>\n\n\n\n

(base) C:\\Windows\\System32>pip install scikit-learn==1.0.2<\/p>\n\n\n\n

Jupyter Notebook<\/p>\n\n\n\n

\uc0c8\ub85c\uc6b4 \ucee4\ub110 \uc5f4\uae30 : new > Python 3(ipykernel)<\/p>\n\n\n\n

6. \uc0ac\uc774\ud0b7\ub7f0 \uc5c5\uadf8\ub808\uc774\ub4dc \uc218\ud589 \ubc0f XGBoost\uc640 LightGBM \uc124\uce58<\/p>\n\n\n\n

7. \uc8fc\ud53c\ud130 \ub178\ud2b8\ubd81 \uc0ac\uc6a9\ubc95\uacfc \ub118\ud30c\uc774\/\ud310\ub2e4\uc2a4\uc758 \ud544\uc694\uc131<\/p>\n\n\n\n

8. \uac15\uc758\uc5d0 \uc0ac\uc6a9\ub420 \uc608\uc81c \uc18c\uc2a4 \ucf54\ub4dc \ub2e4\uc6b4\ub85c\ub4dc \ubc1b\uae30<\/p>\n\n\n\n

9. \ub118\ud30c\uc774 \ubc30\uc5f4 ndarray \uc18c\uac1c<\/p>\n\n\n\n

10. \ub118\ud30c\uc774 \ubc30\uc5f4 ndarray \uc0dd\uc131, shape, \ucc28\uc6d0, \ud0c0\uc785 \uc2e4\uc2b5<\/p>\n\n\n\n

11. numpy ndarray\uc758 axis \ucd95 \uc774\ud574<\/p>\n\n\n\n

12. \ub118\ud30c\uc774 \ubc30\uc5f4 ndarray \ucd08\uae30\ud654 \ubc29\ubc95\uacfc ndarray\ucc28\uc6d0\uacfc \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 reshape()\uc758 \uc774\ud574 – 01<\/p>\n\n\n\n

13. \ub118\ud30c\uc774 \ubc30\uc5f4 ndarray \ucd08\uae30\ud654 \ubc29\ubc95\uacfc ndarray\ucc28\uc6d0\uacfc \ud06c\uae30\ub97c \ubcc0\uacbd\ud558\ub294 reshape()\uc758 \uc774\ud574 – 02<\/p>\n\n\n\n

14. \ub118\ud30c\uc774 ndarray \uc778\ub371\uc2f1(Indexing) \uc774\ud574 – \ub2e8\uc77c\uac12\uacfc \uc2ac\ub77c\uc774\uc2f1 \uc778\ub371\uc2f1<\/p>\n\n\n\n

15. \ub118\ud30c\uc774 ndarray \uc778\ub371\uc2f1(Indexing) \uc774\ud574 – \ud32c\uc2dc\uc640 \ubd88\ub9b0 \uc778\ub371\uc2f1<\/p>\n\n\n\n

16. \ub118\ud30c\uc774 ndarray \uc778\ub371\uc2f1 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

17. \ub118\ud30c\uc774 ndarray \uc778\ub371\uc2f1 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

18. \ub118\ud30c\uc774 ndarray\uc758 sort\uc640 argsort<\/p>\n\n\n\n

19. \ub118\ud30c\uc774 ndarray\uc758 \ub0b4\uc801\uacfc \uc804\uce58\ud589\ub82c<\/p>\n\n\n\n

20. \ud310\ub2e4\uc2a4(Pandas) \uac1c\uc694\uc640 \uae30\ubcf8 API – 01<\/p>\n\n\n\n

21. \ud310\ub2e4\uc2a4(Pandas) \uac1c\uc694\uc640 \uae30\ubcf8 API – 02<\/p>\n\n\n\n

22. \ud310\ub2e4\uc2a4 value_counts \uba54\uc18c\ub4dc \uc18c\uac1c<\/p>\n\n\n\n

23. \ud310\ub2e4\uc2a4 DataFrame\uc758 \ubcc0\ud658, \uceec\ub7fc \uc138\ud2b8 \uc0dd\uc131\/\uc218\uc815<\/p>\n\n\n\n

24. \ud310\ub2e4\uc2a4 DataFrame\uc758 \ub370\uc774\ud130 \uc0ad\uc81c\ud558\uae30<\/p>\n\n\n\n

25. \ud310\ub2e4\uc2a4 Index\uac1d\uccb4 \uc774\ud574<\/p>\n\n\n\n

26. \ud310\ub2e4\uc2a4 \ub370\uc774\ud130 \uc778\ub371\uc2f1\uacfc \ud544\ud130\ub9c1 – 01<\/p>\n\n\n\n

27. \ud310\ub2e4\uc2a4 \ub370\uc774\ud130 \uc778\ub371\uc2f1\uacfc \ud544\ud130\ub9c1 – 02<\/p>\n\n\n\n

28. \ud310\ub2e4\uc2a4 DataFrame\uc758 \uc815\ub82c \uadf8\ub9ac\uace0 Aggregation\ud568\uc218\uc640 Group by \uc218\ud589<\/p>\n\n\n\n

29. DataFrame\uc758 Groupby\uc2dc Named Aggregation\uc801\uc6a9<\/p>\n\n\n\n

30. \ud310\ub2e4\uc2a4 \uacb0\uc190 \ub370\uc774\ud130 \ucc98\ub9ac\ud558\uae30<\/p>\n\n\n\n

31. \ud310\ub2e4\uc2a4 nunique\uc640 replace\uc758 \ud65c\uc6a9<\/p>\n\n\n\n

32. \ud310\ub2e4\uc2a4 \ub78c\ub2e4\uc2dd \uc801\uc6a9\ud558\uc5ec \ub370\uc774\ud130 \uac00\uacf5\ud558\uae30<\/p>\n\n\n\n

33. \ud30c\uc774\uc36c \uae30\ubc18\uc758 \uba38\uc2e0\ub7ec\ub2dd\uacfc \uc0dd\ud0dc\uacc4 \uc774\ud574 Summary<\/p>\n\n\n\n

\uc139\uc158 3. \uc0ac\uc774\ud0b7\ub7f0\uc73c\ub85c \uc2dc\uc791\ud558\ub294 \uba38\uc2e0\ub7ec\ub2dd<\/h2>\n\n\n\n

34. \uc0ac\uc774\ud0b7\ub7f0 \uc18c\uac1c\uc640 \uba38\uc2e0\ub7ec\ub2dd \ubd84\ub958 \uc608\uce21 \ubaa8\ub378 \uac1c\uc694<\/p>\n\n\n\n

35. \uccab\ubc88\uc9f8 \uba38\uc2e0\ub7ec\ub2dd \ubaa8\ub378 \ub9cc\ub4e4\uc5b4 \ubcf4\uae30 – \ubd93\uaf43(Iris) \ud488\uc885 \uc608\uce21<\/p>\n\n\n\n

36. \uc0ac\uc774\ud0b7\ub7f0\uc758 \uae30\ubc18 \ud504\ub808\uc784 \uc6cc\ud06c \uc775\ud788\uae30 – \uc8fc\uc694 API\/\ubaa8\ub4c8 \ubc0f \ub0b4\uc7a5 \uc608\uc81c \ub370\uc774\ud130 \uc138\ud2b8 \uc18c\uac1c<\/p>\n\n\n\n

37. \ud559\uc2b5\uacfc \ud14c\uc2a4\ud2b8 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ubd84\ub9ac<\/p>\n\n\n\n

38. \uad50\ucc28\uac80\uc99d – K-Fold\uc640 Stratified K-Fold\uc758 \uc774\ud574 – 01<\/p>\n\n\n\n

39. \uad50\ucc28\uac80\uc99d – K-Fold\uc640 Stratified K-Fold\uc758 \uc774\ud574 – 02<\/p>\n\n\n\n

40. \uad50\ucc28\uac80\uc99d \uc131\ub2a5\ud3c9\uac00 cross_val_score()\uc640 \ud558\uc774\ud37c \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd\uc744 \uc704\ud55c GridSearchCV – 01<\/p>\n\n\n\n

41. \uad50\ucc28\uac80\uc99d \uc131\ub2a5\ud3c9\uac00 cross_val_score()\uc640 \ud558\uc774\ud37c \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd\uc744 \uc704\ud55c GridSearchCV – 02<\/p>\n\n\n\n

42. \ub370\uc774\ud130 \uc804\ucc98\ub9ac – \uc778\ucf54\ub529 – 01<\/p>\n\n\n\n

43. \ub370\uc774\ud130 \uc804\ucc98\ub9ac – \uc778\ucf54\ub529 – 02<\/p>\n\n\n\n

44. \ub370\uc774\ud130 \uc804\ucc98\ub9ac – \uc2a4\ucf00\uc77c\ub9c1 – 01<\/p>\n\n\n\n

45. \ub370\uc774\ud130 \uc804\ucc98\ub9ac – \uc2a4\ucf00\uc77c\ub9c1 – 02<\/p>\n\n\n\n

46. \uc0ac\uc774\ud0b7\ub7f0\uc73c\ub85c \uc218\ud589\ud558\ub294 \ud0c0\uc774\ud0c0\ub2c9 \uc0dd\uc874\uc790 \uc608\uce21 – 01<\/p>\n\n\n\n

47. \uc0ac\uc774\ud0b7\ub7f0\uc73c\ub85c \uc218\ud589\ud558\ub294 \ud0c0\uc774\ud0c0\ub2c9 \uc0dd\uc874\uc790 \uc608\uce21 – 02<\/p>\n\n\n\n

\uc139\uc158 4. \ud3c9\uac00(Evaluation)<\/h2>\n\n\n\n

48. \ubd84\ub958(Classification) \uc131\ub2a5 \ud3c9\uac00\uc9c0\ud45c \uac1c\uc694\uc640 \uc815\ud655\ub3c4(Accuracy) \uc18c\uac1c<\/p>\n\n\n\n

49. \uc624\ucc28\ud589\ub82c(Confusion Matrix), \uc815\ubc00\ub3c4(Precision), \uc7ac\ud604\uc728(Recall) \uc18c\uac1c<\/p>\n\n\n\n

50. \uc815\ubc00\ub3c4\uc640 \uc7ac\ud604\uc728\uc758 \ud2b8\ub808\uc774\ub4dc\uc624\ud504(Trade off) – 01<\/p>\n\n\n\n

51. \uc815\ubc00\ub3c4\uc640 \uc7ac\ud604\uc728\uc758 \ud2b8\ub808\uc774\ub4dc\uc624\ud504(Trade off) – 02<\/p>\n\n\n\n

52. F1 Score\uc640 ROC-AUC \uc774\ud574 – 01<\/p>\n\n\n\n

53. F1 Score\uc640 ROC-AUC \uc774\ud574 – 02<\/p>\n\n\n\n

54. \ud3c9\uac00 \uc2e4\uc2b5 – \ud53c\ub9c8 \uc778\ub514\uc5b8 \ub2f9\ub1e8\ubcd1 \uc608\uce21<\/p>\n\n\n\n

\uc139\uc158 5. \ubd84\ub958(Classification)<\/h2>\n\n\n\n

55. \ubd84\ub958(Classification) \uac1c\uc694\uc640 \uacb0\uc815\ud2b8\ub9ac(Decision Tree) \uc18c\uac1c<\/p>\n\n\n\n

56. \uacb0\uc815\ud2b8\ub9ac \ubaa8\ub378 \uc2dc\uac01\ud654\ub97c \uc704\ud55c Graphviz \uc124\uce58\ud558\uae30<\/p>\n\n\n\n

57. \uc2dc\uac01\ud654\ub97c \ud1b5\ud55c \uacb0\uc815 \ud2b8\ub9ac \ubaa8\ub378\uc758 \uad6c\uc870 \uc774\ud574<\/p>\n\n\n\n

58. \uacb0\uc815 \ud2b8\ub9ac \uc8fc\uc694 \ud558\uc774\ud37c \ud30c\ub77c\ubbf8\ud130\uc758 \uc774\ud574<\/p>\n\n\n\n

59. \uacb0\uc815\ud2b8\ub9ac \ud53c\ucc98 \uc911\uc694\ub3c4\uc758 \uc774\ud574<\/p>\n\n\n\n

60. \uacb0\uc815\ud2b8\ub9ac \uacfc\uc801\ud569\uc758 \uc774\ud574<\/p>\n\n\n\n

61. \uc0ac\uc6a9\uc790 \ud589\ub3d9 \uc778\uc2dd \ub370\uc774\ud130\ub97c \uc774\uc6a9\ud55c \uacb0\uc815 \ud2b8\ub9ac \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

62. \uc0ac\uc6a9\uc790 \ud589\ub3d9 \uc778\uc2dd \ub370\uc774\ud130\ub97c \uc774\uc6a9\ud55c \uacb0\uc815 \ud2b8\ub9ac \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

63. \uc559\uc0c1\ube14 \ud559\uc2b5\uc758 \uac1c\uc694\uc640 \ubcf4\ud305(Voting)\uc758 \uc774\ud574<\/p>\n\n\n\n

64. \ubc30\uae45(Bagging)\uacfc \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8(Random Forest)\uc758 \uc774\ud574<\/p>\n\n\n\n

65. \ub79c\ub364 \ud3ec\ub808\uc2a4\ud2b8 \uc2e4\uc2b5<\/p>\n\n\n\n

66. \ubd80\uc2a4\ud305(Boosting)\uc758 \uc774\ud574\uc640 \uadf8\ub798\ub514\uc5b8\ud2b8 \ubd80\uc2a4\ud305 \uc18c\uac1c \ubc0f \uc2e4\uc2b5<\/p>\n\n\n\n

67. XGBoost \uc18c\uac1c<\/p>\n\n\n\n

68. XGBoost\ub97c \uc774\uc6a9\ud55c \uc704\uc2a4\ucf58\uc2e0 \uc720\ubc29\uc554 \uc608\uce21(\ud30c\uc774\uc36c Native XGBoost \uc0ac\uc6a9)<\/p>\n\n\n\n

69. XGBoost\ub97c \uc774\uc6a9\ud55c \uc704\uc2a4\ucf58\uc2e0 \uc720\ubc29\uc554 \uc608\uce21(\uc0ac\uc774\ud0b7\ub7f0 Wrapper XGBoost \uc0ac\uc6a9)<\/p>\n\n\n\n

70. LightGBM \uc18c\uac1c<\/p>\n\n\n\n

71. LightGBM\uc744 \uc774\uc6a9\ud55c \uc704\uc2a4\ucf58\uc2e0 \uc720\ubc29\uc554 \uc608\uce21<\/p>\n\n\n\n

72. \uadf8\ub9ac\ub4dc \uc11c\uce58(Grid Search) \uae30\ubc18\uc758 \ud558\uc774\ud37c \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd \ubb38\uc81c\uc810<\/p>\n\n\n\n

73. \ubca0\uc774\uc9c0\uc548 \ucd5c\uc801\ud654 \uac1c\uc694<\/p>\n\n\n\n

74. \ubca0\uc774\uc9c0\uc548 \ucd5c\uc801\ud654\ub97c \uc704\ud55c HyperOpt \ud328\ud0a4\uc9c0 \uc18c\uac1c<\/p>\n\n\n\n

75. HyperOpt \uae30\ubcf8 \uc2e4\uc2b5<\/p>\n\n\n\n

76. HyperOpt\ub97c \uc774\uc6a9\ud55c XGBoost \ud558\uc774\ud37c \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd<\/p>\n\n\n\n

77. \ubd84\ub958 \uc2e4\uc2b5 1 : \uce90\uae00\uacbd\uc5f0\ub300\ud68c\uc758 \uc0b0\ud0c4\ub370\ub974 \uc740\ud589 \uace0\uac1d \ub9cc\uc871 \uc608\uce21 – 01<\/p>\n\n\n\n

78. \ubd84\ub958 \uc2e4\uc2b5 1 : \uce90\uae00\uacbd\uc5f0\ub300\ud68c\uc758 \uc0b0\ud0c4\ub370\ub974 \uc740\ud589 \uace0\uac1d \ub9cc\uc871 \uc608\uce21 – 02<\/p>\n\n\n\n

79. \ubd84\ub958 \uc2e4\uc2b5 1 : \uce90\uae00\uacbd\uc5f0\ub300\ud68c\uc758 \uc0b0\ud0c4\ub370\ub974 \uc740\ud589 \uace0\uac1d \ub9cc\uc871 \uc608\uce21 – 03<\/p>\n\n\n\n

80. \ubd84\ub958 \uc2e4\uc2b5 2: \uc2e0\uc6a9\uce74\ub4dc \uc0ac\uae30 \uc608\uce21 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

81. \ubd84\ub958 \uc2e4\uc2b5 2: \uc2e0\uc6a9\uce74\ub4dc \uc0ac\uae30 \uc608\uce21 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

82. \ubd84\ub958 \uc2e4\uc2b5 2: \uc2e0\uc6a9\uce74\ub4dc \uc0ac\uae30 \uc608\uce21 \uc2e4\uc2b5 – 03<\/p>\n\n\n\n

83. \ubd84\ub958 \uc2e4\uc2b5 2: \uc2e0\uc6a9\uce74\ub4dc \uc0ac\uae30 \uc608\uce21 \uc2e4\uc2b5 – 04<\/p>\n\n\n\n

84. \ubd84\ub958 \uc2e4\uc2b5 2: \uc2e0\uc6a9\uce74\ub4dc \uc0ac\uae30 \uc608\uce21 \uc2e4\uc2b5 – 05<\/p>\n\n\n\n

85. \uc2a4\ud0dc\ud0b9 \ubaa8\ub378 \uc18c\uac1c – \uae30\ubcf8 \uc2a4\ud0dc\ud0b9<\/p>\n\n\n\n

86. \uc2a4\ud0dc\ud0b9 \ubaa8\ub378 \uc18c\uac1c – \uad50\ucc28\uac80\uc99d \uc2a4\ud0dc\ud0b9<\/p>\n\n\n\n

87. \ubd84\ub958(Classification) Summary<\/p>\n\n\n\n

88. <\uc2e0\uaddc> Feature Selection\uc758 \uc774\ud574<\/p>\n\n\n\n

89. <\uc2e0\uaddc> Recursive Feature Elimination\uacfc SelectFromModel \uc2e4\uc2b5<\/p>\n\n\n\n

90. <\uc2e0\uaddc> Permutation Importance \uc18c\uac1c \ubc0f \uc2e4\uc2b5<\/p>\n\n\n\n

91. <\uc2e0\uaddc> \uc65c feature importance\ub294 feature selection\uc758 \uc808\ub300 \uae30\uc900\uc774 \ub420 \uc218 \uc5c6\ub294\uac00?<\/p>\n\n\n\n

\uc139\uc158 6. \ud68c\uadc0(Regression)<\/h2>\n\n\n\n

92. \ud68c\uadc0(Regression)\uc758 \uc774\ud574<\/p>\n\n\n\n

93. \ud68c\uadc0 \ube44\uc6a9\ud568\uc218 RSS\uc640 \uacbd\uc0ac\ud558\uac15\ubc95\uc758 \uc774\ud574<\/p>\n\n\n\n

94. \uacbd\uc0ac\ud558\uac15\ubc95\uc744 \ud1b5\ud55c \ube44\uc6a9\ud568\uc218 RSS \ucd5c\uc18c\ud654 – RSS\ud568\uc218\uc758 \ud3b8\ubbf8\ubd84<\/p>\n\n\n\n

95. \uacbd\uc0ac\ud558\uac15\ubc95\uc744 \ud1b5\ud55c \ube44\uc6a9\ud568\uc218 RSS \ucd5c\uc18c\ud654 – \ud30c\uc774\uc36c \ucf54\ub4dc\ub85c \uacbd\uc0ac \ud558\uac15\ubc95 \uad6c\ud604\ud558\uae30<\/p>\n\n\n\n

96. \uc0ac\uc774\ud0b7\ub7f0 LinearRegression \ud074\ub798\uc2a4\uc640 \ud68c\uadc0 \ud3c9\uac00\uc9c0\ud45c \uc18c\uac1c<\/p>\n\n\n\n

97. \ud68c\uadc0 \ud3c9\uac00\ub97c \uc704\ud55c \uc0ac\uc774\ud0b7\ub7f0 API\uc640 \uc720\uc758 \uc0ac\ud56d<\/p>\n\n\n\n

98. \uc0ac\uc774\ud0b7\ub7f0 LinearRegression\uc744 \uc774\uc6a9\ud55c \ubcf4\uc2a4\ud134 \uc8fc\ud0dd\uac00\uaca9 \uc608\uce21<\/p>\n\n\n\n

99. \ub2e4\ud56d\ud68c\uadc0(Polynomial Regression)\uc758 \uc774\ud574\uc640 \ub2e4\ud56d\ud68c\uadc0\ub97c \uc774\uc6a9\ud55c \ubcf4\uc2a4\ud134 \uc8fc\ud0dd\uac00\uaca9 \uc608\uce21<\/p>\n\n\n\n

100. \ub2e4\ud56d\ud68c\uadc0\ub97c \uc774\uc6a9\ud55c \uacfc\uc18c\uc801\ud569 \ubc0f \uacfc\uc801\ud569 \uc774\ud574<\/p>\n\n\n\n

101. \uaddc\uc81c \uc120\ud615\ud68c\uadc0(Regularized Linear Regression)\uc758 \uac1c\uc694<\/p>\n\n\n\n

102. \ub9bf\uc9c0(Ridge) \ud68c\uadc0\uc758 \uc774\ud574<\/p>\n\n\n\n

103. \ub77c\uc18c(Lasso)\uc640 \uc5d8\ub77c\uc2a4\ud2f1\ub137(Elastic Net) \ud68c\uadc0\uc758 \uc774\ud574<\/p>\n\n\n\n

104. \uc120\ud615 \ud68c\uadc0\ubaa8\ub378\uc744 \uc704\ud55c \ub370\uc774\ud130 \ubcc0\ud658<\/p>\n\n\n\n

105. \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\uc758 \uc774\ud574<\/p>\n\n\n\n

106. \ub85c\uc9c0\uc2a4\ud2f1 \ud68c\uadc0\ub97c \uc774\uc6a9\ud55c \uc704\uc2a4\ucf58\uc2e0 \uc554 \uc608\uce21 \ubaa8\ub378 \uc2e4\uc2b5<\/p>\n\n\n\n

107. \ud68c\uadc0 \ud2b8\ub9ac\uc758 \uc774\ud574<\/p>\n\n\n\n

108. \ud68c\uadc0 \ud2b8\ub9ac\ub97c \uc774\uc6a9\ud55c \ubcf4\uc2a4\ud1a4 \uc8fc\ud0dd \uac00\uaca9 \uc608\uce21<\/p>\n\n\n\n

109. \ud68c\uadc0 \uc2e4\uc2b5 1: \uc790\uc804\uac70 \ub300\uc5ec(\uacf5\uc720) \uc218\uc694 \uc608\uce21 – 01<\/p>\n\n\n\n

110. \ud68c\uadc0 \uc2e4\uc2b5 1: \uc790\uc804\uac70 \ub300\uc5ec(\uacf5\uc720) \uc218\uc694 \uc608\uce21 – 02<\/p>\n\n\n\n

111. \ud68c\uadc0 \uc2e4\uc2b5 2: \uce90\uae00\uacbd\uc5f0 \uc8fc\ud0dd\uac00\uaca9 \uc608\uce21 – Advanced Regression Techniques – 01<\/p>\n\n\n\n

112. \ud68c\uadc0 \uc2e4\uc2b5 2: \uce90\uae00\uacbd\uc5f0 \uc8fc\ud0dd\uac00\uaca9 \uc608\uce21 – Advanced Regression Techniques – 02<\/p>\n\n\n\n

113. \ud68c\uadc0 \uc2e4\uc2b5 2: \uce90\uae00\uacbd\uc5f0 \uc8fc\ud0dd\uac00\uaca9 \uc608\uce21 – Advanced Regression Techniques – 03<\/p>\n\n\n\n

114. \ud68c\uadc0 \uc2e4\uc2b5 2: \uce90\uae00\uacbd\uc5f0 \uc8fc\ud0dd\uac00\uaca9 \uc608\uce21 – Advanced Regression Techniques – 04<\/p>\n\n\n\n

115. \ud68c\uadc0 Summary<\/p>\n\n\n\n

\uc139\uc158 7. \ucc28\uc6d0 \ucd95\uc18c(Dimension Reduction)<\/h2>\n\n\n\n

116. \ucc28\uc6d0 \ucd95\uc18c \uac1c\uc694<\/p>\n\n\n\n

117. PCA(Principal Component Analysis)\uc758 \uc774\ud574<\/p>\n\n\n\n

118. \uc0ac\uc774\ud0b7\ub7f0 PCA \ud074\ub798\uc2a4\uc758 \uc774\ud574<\/p>\n\n\n\n

119. PCA\ub97c \uc774\uc6a9\ud55c \ubd93\uaf43 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ucc28\uc6d0 \ucd95\uc18c \uc2e4\uc2b5<\/p>\n\n\n\n

120. PCA\ub97c \uc774\uc6a9\ud55c \uc2e0\uc6a9\uce74\ub4dc \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ucc28\uc6d0 \ucd95\uc18c \uc2e4\uc2b5<\/p>\n\n\n\n

121. LDA\uc758 \uc774\ud574\uc640 \ubd93\uaf43 \ub370\uc774\ud130 \uc138\ud2b8\uc758 \ucc28\uc6d0 \ucd95\uc18c \uc2e4\uc2b5<\/p>\n\n\n\n

122. SVD\uc758 \uc774\ud574<\/p>\n\n\n\n

123. SVD\ub97c \uc774\uc6a9\ud55c \ud589\ub82c \ubd84\ud574 \uc2e4\uc2b5 \ubc0f NMF(Non Negative Matrix Factorization)\uc758 \uc774\ud574<\/p>\n\n\n\n

\uc139\uc158 8. \uad70\uc9d1\ud654(Clustering)<\/h2>\n\n\n\n

124. \uad70\uc9d1\ud654 \uac1c\uc694 \ubc0f K-Means \uad70\uc9d1\ud654\uc758 \uc774\ud574<\/p>\n\n\n\n

125. \uc0ac\uc774\ud0b7\ub7f0\uc744 \uc774\uc6a9\ud55c K-Means \uad70\uc9d1\ud654 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

126. \uc0ac\uc774\ud0b7\ub7f0\uc744 \uc774\uc6a9\ud55c K-Means \uad70\uc9d1\ud654 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

127. \uc0ac\uc774\ud0b7\ub7f0\uc744 \uc774\uc6a9\ud55c K-Means \uad70\uc9d1\ud654 \uc2e4\uc2b5 – 03<\/p>\n\n\n\n

128. \uad70\uc9d1\ud654 \uc131\ub2a5 \ud3c9\uac00 – \uc2e4\ub8e8\uc5e3 \ubd84\uc11d\uc758 \uc774\ud574<\/p>\n\n\n\n

129. \uad70\uc9d1\ud654 \uc131\ub2a5 \ud3c9\uac00 – \uc2e4\ub8e8\uc5e3 \ubd84\uc11d \uc2e4\uc2b5<\/p>\n\n\n\n

130. \uad70\uc9d1\ubcc4 \ud3c9\uade0 \uc2e4\ub8e8\uc5e3 \uacc4\uc218\uc758 \uc2dc\uac01\ud654\ub97c \ud1b5\ud55c \uad70\uc9d1 \uac1c\uc218 \ucd5c\uc801\ud654 \ubc29\ubc95<\/p>\n\n\n\n

131. MeanShift \uad70\uc9d1\ud654\uc758 \uc774\ud574<\/p>\n\n\n\n

132. KDE(Kernel Density Estimation)\uc758 \uc774\ud574\uc640 \uc0ac\uc774\ud0b7\ub7f0\uc744 \uc774\uc6a9\ud55c MeanShift \uad70\uc9d1\ud654 \uc2e4\uc2b5<\/p>\n\n\n\n

133. GMM(Gaussian Mixture Model) \uad70\uc9d1\ud654\uc758 \uc774\ud574<\/p>\n\n\n\n

134. \uc0ac\uc774\ud0b7\ub7f0\uc744 \uc774\uc6a9\ud55c GMM \uad70\uc9d1\ud654 \uc2e4\uc2b5<\/p>\n\n\n\n

135. DBSCAN \uad70\uc9d1\ud654\uc758 \uc774\ud574<\/p>\n\n\n\n

136. \uc0ac\uc774\ud0b7\ub7f0\uc744 \uc774\uc6a9\ud55c DBSCAN \uad70\uc9d1\ud654 \uc2e4\uc2b5<\/p>\n\n\n\n

137. \uad70\uc9d1\ud654 \uc2e4\uc2b5 1: \uace0\uac1d \uc138\uadf8\uba3c\ud14c\uc774\uc158 \uad6c\ud604 \uc2e4\uc2b5<\/p>\n\n\n\n

\uc139\uc158 9. \ud14d\uc2a4\ud2b8 \ubd84\uc11d<\/h2>\n\n\n\n

138. \ud14d\uc2a4\ud2b8 \ubd84\uc11d\uc758 \uac1c\uc694<\/p>\n\n\n\n

139. \ud14d\uc2a4\ud2b8 \ub370\uc774\ud130\uc758 \ub2e4\uc591\ud55c \uc804\ucc98\ub9ac(Preprocessing) \uc2e4\uc2b5<\/p>\n\n\n\n

140. \ud14d\uc2a4\ud2b8\uc758 \ud53c\ucc98 \ubca1\ud130\ud654 \uc774\ud574 – BOW(Bag of words)\ubaa8\ub378\uc758 \ub2e8\uc21c Count \ubc0f TF-IDF \ud53c\ucc98 \ubca1\ud130\ud654<\/p>\n\n\n\n

141. \uc0ac\uc774\ud0b7\ub7f0\uc758 \uc8fc\uc694 \ud53c\ucc98 \ubca1\ud130\ud654(Feature Vectorization) \ud074\ub798\uc2a4 \uc18c\uac1c<\/p>\n\n\n\n

142. \ud76c\uc18c\ud589\ub82c\uc758 \uc774\ud574<\/p>\n\n\n\n

143. \ud14d\uc2a4\ud2b8 \ubd84\ub958 – 20 Newsgroup \ubd84\ub958 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

144. \ud14d\uc2a4\ud2b8 \ubd84\ub958 – 20 Newsgroup \ubd84\ub958 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

145. \ud14d\uc2a4\ud2b8 \ubd84\ub958 – 20 Newsgroup \ubd84\ub958 \uc2e4\uc2b5 – 03<\/p>\n\n\n\n

146. \uac10\uc131 \ubd84\uc11d\uc758 \uc774\ud574\uc640 \uc9c0\ub3c4\ud559\uc2b5\uae30\ubc18\uc758 IMDB\uc601\ud654\ub9ac\ubdf0 \uac10\uc131\ubd84\uc11d \uc2e4\uc2b5<\/p>\n\n\n\n

147. \uac10\uc131\uc5b4\ud718 \uc0ac\uc804 \uae30\ubc18\uc758 \uac10\uc131 \ubd84\uc11d \uc774\ud574\uc640 \uc774\ub97c \uc774\uc6a9\ud55c IMDB \uc601\ud654\ub9ac\ubdf0 \uac10\uc131\ubd84\uc11d \uc2e4\uc2b5<\/p>\n\n\n\n

148. \ud1a0\ud53d \ubaa8\ub378\ub9c1\uacfc LDA\uc758 \uc774\ud574<\/p>\n\n\n\n

149. \uc0ac\uc774\ud0b7\ub7f0 LDA\ub97c \uc774\uc6a9\ud55c 20 Newsgroup \ud1a0\ud53d \ubaa8\ub378\ub9c1 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

150. \uc0ac\uc774\ud0b7\ub7f0 LDA\ub97c \uc774\uc6a9\ud55c 20 Newsgroup \ud1a0\ud53d \ubaa8\ub378\ub9c1 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

151. \ubb38\uc11c \uad70\uc9d1\ud654\uc758 \uc774\ud574\uc640 Opinion Review \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc774\uc6a9\ud55c \ubb38\uc11c \uad70\uc9d1\ud654 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

152. Opinion Review \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc774\uc6a9\ud55c \ubb38\uc11c \uad70\uc9d1\ud654 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

153. \ubb38\uc11c \uc720\uc0ac\ub3c4 \uac1c\uc694\uc640 \ucf54\uc0ac\uc778 \uc720\uc0ac\ub3c4 \uc774\ud574<\/p>\n\n\n\n

154. \ucf54\uc0ac\uc778 \uc720\uc0ac\ub3c4\ub97c \uc774\uc6a9\ud55c \ubb38\uc11c \uc720\uc0ac\ub3c4 \uad6c\ud604 \uc2e4\uc2b5<\/p>\n\n\n\n

155. Opinion Review \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc774\uc6a9\ud55c \ubb38\uc11c \uc720\uc0ac\ub3c4 \uad6c\ud604 \uc2e4\uc2b5<\/p>\n\n\n\n

156. \ud55c\uae00 NLP \uac1c\uc694\uc640 \ud55c\uae00 \ud615\ud0dc\uc18c \uc5d4\uc9c4 KoNLPy \uc18c\uac1c<\/p>\n\n\n\n

157. \ud55c\uae00 \ud615\ud0dc\uc18c \uc5d4\uc9c4 KoNLPy \uc124\uce58\ud558\uae30<\/p>\n\n\n\n

158. \ud55c\uae00 NLP \uc2e4\uc2b5 – \ub124\uc774\ubc84 \uc601\ud654\ub9ac\ubdf0 \uac10\uc131 \ubd84\uc11d – 01<\/p>\n\n\n\n

159. \ud55c\uae00 NLP \uc2e4\uc2b5 – \ub124\uc774\ubc84 \uc601\ud654\ub9ac\ubdf0 \uac10\uc131 \ubd84\uc11d – 02<\/p>\n\n\n\n

160. \uc2e4\uc804 \ud14d\uc2a4\ud2b8 \ubd84\uc11d: 01 – \uce90\uae00 \uacbd\uc5f0 Mercari Price Suggestion \uc2e4\uc2b5 \uac1c\uc694<\/p>\n\n\n\n

161. \uc2e4\uc804 \ud14d\uc2a4\ud2b8 \ubd84\uc11d: 02 – Mercari Price Suggestion \ub370\uc774\ud130 \uc138\ud2b8 \ub2e4\uc6b4\ub85c\ub4dc \ubc0f Kaggle \ucee4\ub110 \uc0ac\uc6a9\ubc95<\/p>\n\n\n\n

162. \uc2e4\uc804 \ud14d\uc2a4\ud2b8 \ubd84\uc11d: 03 – Mercari Price Suggestion \ub370\uc774\ud130 \uc138\ud2b8 \ubd84\uc11d \ubc0f \ubcc0\ud658<\/p>\n\n\n\n

163. \uc2e4\uc804 \ud14d\uc2a4\ud2b8 \ubd84\uc11d: 04 – Mercari Price Suggestion \ud53c\ucc98 \uc778\ucf54\ub529\uacfc \ud53c\ucc98 \ubca1\ud130\ud654 \uc218\ud589<\/p>\n\n\n\n

164. \uc2e4\uc804 \ud14d\uc2a4\ud2b8 \ubd84\uc11d: 05 – Mercari Price Suggestion \ubaa8\ub378 \ud559\uc2b5\uacfc \uc608\uce21, \ud3c9\uac00<\/p>\n\n\n\n

165. \ud14d\uc2a4\ud2b8 \ubd84\uc11d Summary<\/p>\n\n\n\n

\uc139\uc158 10. \ucd94\ucc9c(Recommendation)<\/h2>\n\n\n\n

166. \ucd94\ucc9c \uc2dc\uc2a4\ud15c\uc758 \uc774\ud574<\/p>\n\n\n\n

167. \ucf58\ud150\uce20\uae30\ubc18 \ud544\ud130\ub9c1\uc758 \uc774\ud574\uc640 TMDB5000 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc774\uc6a9\ud55c \ucf58\ud150\uce20\uae30\ubc18 \ud544\ud130\ub9c1 \uad6c\ud604 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

168. TMDB5000 \ub370\uc774\ud130 \uc138\ud2b8\ub97c \uc774\uc6a9\ud55c \ucf58\ud150\uce20\uae30\ubc18 \ud544\ud130\ub9c1 \uad6c\ud604 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

169. \ud611\uc5c5 \ud544\ud130\ub9c1\uc758 \uac1c\uc694\uc640 \ucd5c\uadfc\uc811 \uc774\uc6c3\ubc29\uc2dd \ud611\uc5c5 \ud544\ud130\ub9c1\uc758 \uc774\ud574<\/p>\n\n\n\n

170. \uc544\uc774\ud15c\uae30\ubc18 \ucd5c\uadfc\uc811 \uc774\uc6c3 \ud611\uc5c5\ud544\ud130\ub9c1 \uc601\ud654 \ucd94\ucc9c \uad6c\ud604 \uc2e4\uc2b5<\/p>\n\n\n\n

171. \uc7a0\uc7ac\uc694\uc778 \uae30\ubc18\uc758 \ud611\uc5c5\ud544\ud130\ub9c1 \uc774\ud574\uc640 \uacbd\uc0ac\ud558\uac15\ubc95\uc744 \uc774\uc6a9\ud55c \ud589\ub82c \ubd84\ud574<\/p>\n\n\n\n

172. \ud30c\uc774\uc36c \ucf54\ub4dc\ub97c \uc774\uc6a9\ud55c \uacbd\uc0ac\ud558\uac15\ubc95 \uae30\ubc18\uc758 \ud589\ub82c \ubd84\ud574 \uad6c\ud604\uacfc \uc7a0\uc7ac\uc694\uc778 \ud611\uc5c5 \ud544\ud130\ub9c1 \uae30\ubc18 \uc601\ud654 \ucd94\ucc9c \uad6c\ud604 \uc2e4\uc2b5<\/p>\n\n\n\n

173. \ud30c\uc774\uc36c\uc758 \ucd94\ucc9c \uc2dc\uc2a4\ud15c \ud328\ud0a4\uc9c0\uc778 Surprise \uac1c\uc694 – \uc8fc\uc694 \ubaa8\ub4c8 \uc18c\uac1c<\/p>\n\n\n\n

174. Surprise\ub97c \uc774\uc6a9\ud55c \ucd94\ucc9c \uc2dc\uc2a4\ud15c \uae30\ubcf8 \uad6c\ud604<\/p>\n\n\n\n

175. Surprise\uc758 \ucd94\ucc9c \uc54c\uace0\ub9ac\uc998 \uc18c\uac1c \ubc0f \uad50\ucc28 \uac80\uc99d\uacfc \ud558\uc774\ud37c \ud30c\ub77c\ubbf8\ud130 \ud29c\ub2dd \uac1c\uc694<\/p>\n\n\n\n

176. Surprise\ub97c \uc774\uc6a9\ud558\uc5ec \uac1c\uc778\ud654 \uc601\ud654 \ucd94\ucc9c \uc2dc\uc2a4\ud15c \uad6c\ucd95<\/p>\n\n\n\n

177. \ucd94\ucc9c Summary<\/p>\n\n\n\n

\uc139\uc158 11. \uc2dc\uac01\ud654<\/h2>\n\n\n\n

178. \uc2dc\uac01\ud654\ub97c \uc2dc\uc791\ud558\uba70<\/p>\n\n\n\n

179. Matplotlib\uacfc Seaborn \uac1c\uc694 \ubc0f \ube44\uad50<\/p>\n\n\n\n

180. Matplotlib\uc758 \uc774\ud574 – Figure\uc640 Axes<\/p>\n\n\n\n

181. Matplotlib Figure\uc640 Axes \uc2e4\uc2b5<\/p>\n\n\n\n

182. Matplotlib\uc758 \uc5ec\ub7ec \uad6c\uc131 \uc694\uc18c\ub97c \uc774\uc6a9\ud55c \uc2dc\uac01\ud654 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

183. Matplotlib\uc758 \uc5ec\ub7ec \uad6c\uc131 \uc694\uc18c\ub97c \uc774\uc6a9\ud55c \uc2dc\uac01\ud654 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

184. \uc815\ubcf4\uc758 \uc885\ub958\uc5d0 \ub530\ub978 \uc2dc\uac01\ud654 \uc720\ud615<\/p>\n\n\n\n

185. Seaborn\uc758 Axis \ub808\ubca8 \ud568\uc218\uc640 Figure \ub808\ubca8 \ud568\uc218\uc758 \uc774\ud574<\/p>\n\n\n\n

186. Seaborn \ud788\uc2a4\ud1a0\uadf8\ub7a8 \uc2dc\uac01\ud654 \uc2e4\uc2b5<\/p>\n\n\n\n

187. Seaborn Bar \ud50c\ub86f \uc2dc\uac01\ud654 \uc2e4\uc2b5 – 01<\/p>\n\n\n\n

188. Seaborn Bar \ud50c\ub86f \uc2dc\uac01\ud654 \uc2e4\uc2b5 – 02<\/p>\n\n\n\n

189. Seaborn Violin \ud50c\ub86f \uc2e4\uc2b5<\/p>\n\n\n\n

190. Seaborn\uc5d0\uc11c subplots\uc744 \ud65c\uc6a9\ud55c \uc2dc\uac01\ud654 \uae30\ubc95 \uc775\ud788\uae30<\/p>\n\n\n\n

191. Seaborn Box \ud50c\ub86f\uacfc Scatter \ud50c\ub86f \uc2e4\uc2b5<\/p>\n\n\n\n

192. Seaborn \uc0c1\uad00 Heatmap \uc2e4\uc2b5<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

2025-27-100 \uc139\uc158 2. \ud30c\uc774\uc36c \uae30\ubc18\uc758 \uba38\uc2e0\ub7ec\ub2dd\uacfc \uc0dd\ud0dc\uacc4 \uc774\ud574 2. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uac1c\ub150 \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc720\ud615 3. \uba38\uc2e0\ub7ec\ub2dd\uc758 \uc720\ud615\uacfc \ub370\uc774\ud130\uc758 \uc911\uc694\uc131 \ud30c\uc774\uc36c \ub7ec\ub2dd\uba38\uc2e0 \uc0dd\ud0dc\uacc4\ub97c \uad6c\uc131\ud558\ub294 \uc8fc\uc694 \ud328\ud0a4\uc9c0 4. \ud30c\uc774\uc36c \uae30\ubc18 \uba38\uc2e0\ub7ec\ub2dd\uc758 \ud2b9\uc9d5\ubc0f \uc7a5\uc810\uacfc \uad6c\uc131\uc694\uc18c 5. \ud30c\uc774\uc36c\uae30\ubc18 \uba38\uc2e0\ub7ec\ub2dd\uc744 \uc704\ud55c SW\uc758 \uc124\uce58 sklearn \uc5c5\uadf8\ub808\uc774\ub4dc Anaconda Prompt \uad00\ub9ac\uc790\uad8c\ud55c\uc73c\ub85c \uc5f4\uae30 (base) C:\\Windows\\System32>pip install scikit-learn==1.0.2 Jupyter Notebook \uc0c8\ub85c\uc6b4 \ucee4\ub110 \uc5f4\uae30 : new > […]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"inline_featured_image":false},"categories":[121],"tags":[123,122],"_links":{"self":[{"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/posts\/5609"}],"collection":[{"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/comments?post=5609"}],"version-history":[{"count":9,"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/posts\/5609\/revisions"}],"predecessor-version":[{"id":5643,"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/posts\/5609\/revisions\/5643"}],"wp:attachment":[{"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/media?parent=5609"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/categories?post=5609"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/mylittleforest.kr\/wordpress\/wp-json\/wp\/v2\/tags?post=5609"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}