{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"pygments_lexer":"ipython3","nbconvert_exporter":"python","version":"3.6.4","file_extension":".py","codemirror_mode":{"name":"ipython","version":3},"name":"python","mimetype":"text/x-python"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"import os\nos.getcwd()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.716564Z","iopub.execute_input":"2022-07-10T16:01:46.716945Z","iopub.status.idle":"2022-07-10T16:01:46.723313Z","shell.execute_reply.started":"2022-07-10T16:01:46.716914Z","shell.execute_reply":"2022-07-10T16:01:46.722339Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 1. Reading Datasets","metadata":{}},{"cell_type":"code","source":"import pandas as pd","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.736156Z","iopub.execute_input":"2022-07-10T16:01:46.737010Z","iopub.status.idle":"2022-07-10T16:01:46.741476Z","shell.execute_reply.started":"2022-07-10T16:01:46.736975Z","shell.execute_reply":"2022-07-10T16:01:46.740446Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"gender_submission=pd.read_csv('../input/titanic/gender_submission.csv')\ntrain_data=pd.read_csv('../input/titanic/train.csv')\ntest_data=pd.read_csv('../input/titanic/test.csv')","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.765413Z","iopub.execute_input":"2022-07-10T16:01:46.766695Z","iopub.status.idle":"2022-07-10T16:01:46.782131Z","shell.execute_reply.started":"2022-07-10T16:01:46.766644Z","shell.execute_reply":"2022-07-10T16:01:46.781326Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"gender_submission.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.786700Z","iopub.execute_input":"2022-07-10T16:01:46.787252Z","iopub.status.idle":"2022-07-10T16:01:46.813339Z","shell.execute_reply.started":"2022-07-10T16:01:46.787209Z","shell.execute_reply":"2022-07-10T16:01:46.812503Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.815595Z","iopub.execute_input":"2022-07-10T16:01:46.816441Z","iopub.status.idle":"2022-07-10T16:01:46.835990Z","shell.execute_reply.started":"2022-07-10T16:01:46.816395Z","shell.execute_reply":"2022-07-10T16:01:46.834710Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"test_data.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.838341Z","iopub.execute_input":"2022-07-10T16:01:46.839335Z","iopub.status.idle":"2022-07-10T16:01:46.859056Z","shell.execute_reply.started":"2022-07-10T16:01:46.839273Z","shell.execute_reply":"2022-07-10T16:01:46.857835Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.DataFrame(train_data)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.861819Z","iopub.execute_input":"2022-07-10T16:01:46.862554Z","iopub.status.idle":"2022-07-10T16:01:46.895743Z","shell.execute_reply.started":"2022-07-10T16:01:46.862508Z","shell.execute_reply":"2022-07-10T16:01:46.894602Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"pd.DataFrame(test_data)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.897450Z","iopub.execute_input":"2022-07-10T16:01:46.898213Z","iopub.status.idle":"2022-07-10T16:01:46.920799Z","shell.execute_reply.started":"2022-07-10T16:01:46.898168Z","shell.execute_reply":"2022-07-10T16:01:46.919695Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 2. Exploratory Data Analysis","metadata":{}},{"cell_type":"code","source":"import matplotlib.pyplot as plt\nimport seaborn as sns","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.922365Z","iopub.execute_input":"2022-07-10T16:01:46.922871Z","iopub.status.idle":"2022-07-10T16:01:46.928230Z","shell.execute_reply.started":"2022-07-10T16:01:46.922827Z","shell.execute_reply":"2022-07-10T16:01:46.927034Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_data.hist(bins=30, figsize=(25, 20))\nplt.show()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:46.929982Z","iopub.execute_input":"2022-07-10T16:01:46.930851Z","iopub.status.idle":"2022-07-10T16:01:48.313262Z","shell.execute_reply.started":"2022-07-10T16:01:46.930809Z","shell.execute_reply":"2022-07-10T16:01:48.312380Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 3. Preprocessing","metadata":{}},{"cell_type":"code","source":"train_anal_data = train_data.copy()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.318087Z","iopub.execute_input":"2022-07-10T16:01:48.318630Z","iopub.status.idle":"2022-07-10T16:01:48.324452Z","shell.execute_reply.started":"2022-07-10T16:01:48.318570Z","shell.execute_reply":"2022-07-10T16:01:48.323377Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_anal_data","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.326106Z","iopub.execute_input":"2022-07-10T16:01:48.326789Z","iopub.status.idle":"2022-07-10T16:01:48.355524Z","shell.execute_reply.started":"2022-07-10T16:01:48.326745Z","shell.execute_reply":"2022-07-10T16:01:48.354428Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 1) Drop the meaningless features and fill the null values","metadata":{}},{"cell_type":"code","source":"train_anal_data.drop(['Name', 'Ticket','Cabin'], axis=1, inplace=True)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.357232Z","iopub.execute_input":"2022-07-10T16:01:48.357933Z","iopub.status.idle":"2022-07-10T16:01:48.377004Z","shell.execute_reply.started":"2022-07-10T16:01:48.357888Z","shell.execute_reply":"2022-07-10T16:01:48.375760Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_anal_data.info()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.378351Z","iopub.execute_input":"2022-07-10T16:01:48.378711Z","iopub.status.idle":"2022-07-10T16:01:48.398099Z","shell.execute_reply.started":"2022-07-10T16:01:48.378681Z","shell.execute_reply":"2022-07-10T16:01:48.397328Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# drop rows if 'Age' is null\n\ntrain_anal_data2 = train_anal_data[train_anal_data['Age'].isnull()==False]","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.399681Z","iopub.execute_input":"2022-07-10T16:01:48.400566Z","iopub.status.idle":"2022-07-10T16:01:48.415348Z","shell.execute_reply.started":"2022-07-10T16:01:48.400530Z","shell.execute_reply":"2022-07-10T16:01:48.414031Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_anal_data2","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.416900Z","iopub.execute_input":"2022-07-10T16:01:48.417711Z","iopub.status.idle":"2022-07-10T16:01:48.442660Z","shell.execute_reply.started":"2022-07-10T16:01:48.417674Z","shell.execute_reply":"2022-07-10T16:01:48.441685Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# drop rows if 'Age' is null\n\ntrain_anal_data3 = train_anal_data2[train_anal_data['Embarked'].isnull()==False]","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-07-10T16:01:48.444045Z","iopub.execute_input":"2022-07-10T16:01:48.444373Z","iopub.status.idle":"2022-07-10T16:01:48.465844Z","shell.execute_reply.started":"2022-07-10T16:01:48.444343Z","shell.execute_reply":"2022-07-10T16:01:48.464948Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_anal_data3","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.467353Z","iopub.execute_input":"2022-07-10T16:01:48.467748Z","iopub.status.idle":"2022-07-10T16:01:48.491394Z","shell.execute_reply.started":"2022-07-10T16:01:48.467703Z","shell.execute_reply":"2022-07-10T16:01:48.489431Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_anal_data3.isnull().sum()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.497723Z","iopub.execute_input":"2022-07-10T16:01:48.498518Z","iopub.status.idle":"2022-07-10T16:01:48.509706Z","shell.execute_reply.started":"2022-07-10T16:01:48.498465Z","shell.execute_reply":"2022-07-10T16:01:48.508437Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2) One-hot encoding and features splitting","metadata":{}},{"cell_type":"code","source":"# one-hot encoding\n\ntrain_dum_data=pd.get_dummies(train_anal_data3)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.511356Z","iopub.execute_input":"2022-07-10T16:01:48.511921Z","iopub.status.idle":"2022-07-10T16:01:48.524402Z","shell.execute_reply.started":"2022-07-10T16:01:48.511891Z","shell.execute_reply":"2022-07-10T16:01:48.523058Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"train_dum_data","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.526075Z","iopub.execute_input":"2022-07-10T16:01:48.526855Z","iopub.status.idle":"2022-07-10T16:01:48.554227Z","shell.execute_reply.started":"2022-07-10T16:01:48.526811Z","shell.execute_reply":"2022-07-10T16:01:48.553010Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"feature_variables = list(train_dum_data.columns.difference(['Survived']))","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.555537Z","iopub.execute_input":"2022-07-10T16:01:48.556678Z","iopub.status.idle":"2022-07-10T16:01:48.562509Z","shell.execute_reply.started":"2022-07-10T16:01:48.556611Z","shell.execute_reply":"2022-07-10T16:01:48.561698Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train = train_dum_data[feature_variables]\nY_train = train_dum_data[['Survived']]","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.563805Z","iopub.execute_input":"2022-07-10T16:01:48.564459Z","iopub.status.idle":"2022-07-10T16:01:48.579674Z","shell.execute_reply.started":"2022-07-10T16:01:48.564417Z","shell.execute_reply":"2022-07-10T16:01:48.578734Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.582442Z","iopub.execute_input":"2022-07-10T16:01:48.582898Z","iopub.status.idle":"2022-07-10T16:01:48.606538Z","shell.execute_reply.started":"2022-07-10T16:01:48.582856Z","shell.execute_reply":"2022-07-10T16:01:48.605458Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Y_train","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.608096Z","iopub.execute_input":"2022-07-10T16:01:48.608758Z","iopub.status.idle":"2022-07-10T16:01:48.619903Z","shell.execute_reply.started":"2022-07-10T16:01:48.608718Z","shell.execute_reply":"2022-07-10T16:01:48.618688Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 3. Data Scaling and Train-test spliiting","metadata":{}},{"cell_type":"code","source":"# Data scaling\n\nfrom sklearn.preprocessing import MinMaxScaler","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.623051Z","iopub.execute_input":"2022-07-10T16:01:48.623360Z","iopub.status.idle":"2022-07-10T16:01:48.699900Z","shell.execute_reply.started":"2022-07-10T16:01:48.623331Z","shell.execute_reply":"2022-07-10T16:01:48.698682Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"minmax=MinMaxScaler()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.701368Z","iopub.execute_input":"2022-07-10T16:01:48.701728Z","iopub.status.idle":"2022-07-10T16:01:48.705775Z","shell.execute_reply.started":"2022-07-10T16:01:48.701699Z","shell.execute_reply":"2022-07-10T16:01:48.704819Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"minmax.fit(X_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.706691Z","iopub.execute_input":"2022-07-10T16:01:48.707229Z","iopub.status.idle":"2022-07-10T16:01:48.725454Z","shell.execute_reply.started":"2022-07-10T16:01:48.707195Z","shell.execute_reply":"2022-07-10T16:01:48.724739Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train_minmax = minmax.transform(X_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.726550Z","iopub.execute_input":"2022-07-10T16:01:48.727020Z","iopub.status.idle":"2022-07-10T16:01:48.738390Z","shell.execute_reply.started":"2022-07-10T16:01:48.726990Z","shell.execute_reply":"2022-07-10T16:01:48.737064Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train_minmax","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.740082Z","iopub.execute_input":"2022-07-10T16:01:48.740746Z","iopub.status.idle":"2022-07-10T16:01:48.753684Z","shell.execute_reply.started":"2022-07-10T16:01:48.740708Z","shell.execute_reply":"2022-07-10T16:01:48.752714Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# Train - test splitting\n\nfrom sklearn.model_selection import train_test_split","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.754951Z","iopub.execute_input":"2022-07-10T16:01:48.755290Z","iopub.status.idle":"2022-07-10T16:01:48.826006Z","shell.execute_reply.started":"2022-07-10T16:01:48.755261Z","shell.execute_reply":"2022-07-10T16:01:48.825202Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"X_train, X_test, Y_train, Y_test = train_test_split(X_train_minmax, Y_train, test_size=0.3, stratify = Y_train, random_state=100)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.827114Z","iopub.execute_input":"2022-07-10T16:01:48.827549Z","iopub.status.idle":"2022-07-10T16:01:48.839827Z","shell.execute_reply.started":"2022-07-10T16:01:48.827522Z","shell.execute_reply":"2022-07-10T16:01:48.838912Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Y_train.value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.841210Z","iopub.execute_input":"2022-07-10T16:01:48.841514Z","iopub.status.idle":"2022-07-10T16:01:48.862546Z","shell.execute_reply.started":"2022-07-10T16:01:48.841486Z","shell.execute_reply":"2022-07-10T16:01:48.861660Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Y_test.value_counts()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.863862Z","iopub.execute_input":"2022-07-10T16:01:48.864767Z","iopub.status.idle":"2022-07-10T16:01:48.879939Z","shell.execute_reply.started":"2022-07-10T16:01:48.864735Z","shell.execute_reply":"2022-07-10T16:01:48.879078Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"# 4. Modeling","metadata":{}},{"cell_type":"markdown","source":"## 1) model fitting ","metadata":{}},{"cell_type":"code","source":"# Logisticn Regression\n\nfrom sklearn.linear_model import LogisticRegression","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.880932Z","iopub.execute_input":"2022-07-10T16:01:48.881650Z","iopub.status.idle":"2022-07-10T16:01:48.970096Z","shell.execute_reply.started":"2022-07-10T16:01:48.881594Z","shell.execute_reply":"2022-07-10T16:01:48.968975Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"LR = LogisticRegression()","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.973422Z","iopub.execute_input":"2022-07-10T16:01:48.973875Z","iopub.status.idle":"2022-07-10T16:01:48.978829Z","shell.execute_reply.started":"2022-07-10T16:01:48.973840Z","shell.execute_reply":"2022-07-10T16:01:48.977681Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"LR.fit(X_train, Y_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:48.979858Z","iopub.execute_input":"2022-07-10T16:01:48.980538Z","iopub.status.idle":"2022-07-10T16:01:49.014313Z","shell.execute_reply.started":"2022-07-10T16:01:48.980509Z","shell.execute_reply":"2022-07-10T16:01:49.013248Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"Y_train_pred = LR.predict(X_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.015316Z","iopub.execute_input":"2022-07-10T16:01:49.016166Z","iopub.status.idle":"2022-07-10T16:01:49.020473Z","shell.execute_reply.started":"2022-07-10T16:01:49.016132Z","shell.execute_reply":"2022-07-10T16:01:49.019715Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# checking score\n\nLR.score(X_train, Y_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.021594Z","iopub.execute_input":"2022-07-10T16:01:49.022161Z","iopub.status.idle":"2022-07-10T16:01:49.040220Z","shell.execute_reply.started":"2022-07-10T16:01:49.022128Z","shell.execute_reply":"2022-07-10T16:01:49.039286Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"# cheking cross_val_score\n\nfrom sklearn.model_selection import cross_val_score","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.041449Z","iopub.execute_input":"2022-07-10T16:01:49.042061Z","iopub.status.idle":"2022-07-10T16:01:49.048040Z","shell.execute_reply.started":"2022-07-10T16:01:49.042030Z","shell.execute_reply":"2022-07-10T16:01:49.047135Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import confusion_matrix","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.048999Z","iopub.execute_input":"2022-07-10T16:01:49.049682Z","iopub.status.idle":"2022-07-10T16:01:49.061974Z","shell.execute_reply.started":"2022-07-10T16:01:49.049646Z","shell.execute_reply":"2022-07-10T16:01:49.060884Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"confusion_train = confusion_matrix(Y_train, Y_train_pred)\nprint(confusion_train)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.063395Z","iopub.execute_input":"2022-07-10T16:01:49.064350Z","iopub.status.idle":"2022-07-10T16:01:49.080585Z","shell.execute_reply.started":"2022-07-10T16:01:49.064303Z","shell.execute_reply":"2022-07-10T16:01:49.079423Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"from sklearn.metrics import classification_report\ncfreport = classification_report(Y_train, Y_train_pred)\nprint(cfreport)","metadata":{"scrolled":true,"execution":{"iopub.status.busy":"2022-07-10T16:01:49.086808Z","iopub.execute_input":"2022-07-10T16:01:49.087655Z","iopub.status.idle":"2022-07-10T16:01:49.098476Z","shell.execute_reply.started":"2022-07-10T16:01:49.087596Z","shell.execute_reply":"2022-07-10T16:01:49.097293Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"markdown","source":"## 2) Applying to splitted test data","metadata":{}},{"cell_type":"code","source":"Y_test_pred = LR.predict(X_test)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.100426Z","iopub.execute_input":"2022-07-10T16:01:49.101347Z","iopub.status.idle":"2022-07-10T16:01:49.107093Z","shell.execute_reply.started":"2022-07-10T16:01:49.101302Z","shell.execute_reply":"2022-07-10T16:01:49.106294Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"LR.score(X_test, Y_test)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.108410Z","iopub.execute_input":"2022-07-10T16:01:49.109058Z","iopub.status.idle":"2022-07-10T16:01:49.126433Z","shell.execute_reply.started":"2022-07-10T16:01:49.109019Z","shell.execute_reply":"2022-07-10T16:01:49.124870Z"},"trusted":true},"execution_count":null,"outputs":[]},{"cell_type":"code","source":"cfreport_test = classification_report(Y_test, Y_test_pred)\nprint(cfreport_test)","metadata":{"execution":{"iopub.status.busy":"2022-07-10T16:01:49.128283Z","iopub.execute_input":"2022-07-10T16:01:49.129440Z","iopub.status.idle":"2022-07-10T16:01:49.142492Z","shell.execute_reply.started":"2022-07-10T16:01:49.129407Z","shell.execute_reply":"2022-07-10T16:01:49.141356Z"},"trusted":true},"execution_count":null,"outputs":[]}]}