【文件属性】：
文件名称：pjt_portfolio_for_efficient_frontier
文件大小：38.31MB
文件格式：ZIP
更新时间：2024-04-02 06:01:42
JupyterNotebook
pjt_portfolio_for_efficient_frontier
【文件预览】：
pjt_portfolio_for_efficient_frontier-main
----Image()
--------Techinical_background.png(87KB)
--------Sales_forecast.png(41KB)
----Data()
--------skinfo_지에스건설.csv(581KB)
--------skinfo_삼성전자.csv(587KB)
--------skinfo_에스케이텔레콤.csv(593KB)
--------skinfo_엘지유플러스.csv(516KB)
--------skinfo_엘지전자.csv(495KB)
--------skinfo_HDC아이콘트롤스.csv(138KB)
--------skinfo_경동나비엔.csv(548KB)
--------skinfo_케이티.csv(507KB)
--------skinfo_현대리바트.csv(373KB)
--------skinfo_에스원.csv(503KB)
----passing()
--------Stock_ml_arima(to anomaly detection)_tr1-Copy3.ipynb(1.48MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest.ipynb(1.72MB)
--------Stock_ml_arima(to anomaly detection)_tr1.ipynb(1.05MB)
--------Tr_toget_info_kor.ipynb(59KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy2.ipynb(1.17MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy3.ipynb(1.47MB)
--------Untitled.ipynb(1KB)
--------Stock_EDA_rc.ipynb(11KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy4.ipynb(1.56MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy1.ipynb(1.45MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy1.ipynb(825KB)
--------암 질병 데이터를 통한 pca구현.ipynb(94KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy4.ipynb(1.56MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy2.ipynb(1.49MB)
--------Stock_EDA_ps.ipynb(8KB)
----.ipynb_checkpoints()
--------Stock_ml_arima(to anomaly detection)_tr1-Copy1-checkpoint.ipynb(825KB)
--------Stock_EDA_ps-checkpoint.ipynb(8KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy3-checkpoint.ipynb(1.47MB)
--------Stock_ml_arima(to anomaly detection)__ADD_IForest-F1_210311_saved-checkpoint.ipynb(16.19MB)
--------Sharpe_Ratio-checkpoint.ipynb(4KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy1-checkpoint.ipynb(1.39MB)
--------Stock_ml_arima(to anomaly detection)__ADD_IForest-F1-checkpoint.ipynb(1.56MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy4-checkpoint.ipynb(1.56MB)
--------Stock_EDA_rc-checkpoint.ipynb(11KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy2-checkpoint.ipynb(1.17MB)
--------Stock_ml_arima(to anomaly detection)_tr1-checkpoint.ipynb(1.05MB)
--------Stock_ml_arima(to anomaly detection)__ADD_IForest-F1_210308-checkpoint.ipynb(18.04MB)
--------Tr_toget_info_kor-checkpoint.ipynb(16KB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-checkpoint.ipynb(1.69MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy3-checkpoint.ipynb(1.48MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy4-checkpoint.ipynb(1.56MB)
--------Stock_ml_arima(to anomaly detection)_tr1-Copy5_ADD_IForest-Copy2-checkpoint.ipynb(1.49MB)
--------암 질병 데이터를 통한 pca구현-checkpoint.ipynb(72B)
----Stock_ml_arima(to anomaly detection)__ADD_IForest-F1.ipynb(1.56MB)
----Sharpe_Ratio.ipynb(4KB)
----Stock_ml_arima(to anomaly detection)__ADD_IForest-F1_210308.ipynb(18.04MB)
----Stock_ml_arima(to anomaly detection)__ADD_IForest-F1_210311_saved.ipynb(16.19MB)