From 54ccb1423f5049ee05e666df636dbf50eb00a98e Mon Sep 17 00:00:00 2001 From: Your Name Date: Mon, 8 Feb 2021 11:17:02 +0000 Subject: [PATCH] added --- Lab01/Exercise1.03/Exercise1_03.ipynb | 5 ++- Lab03/Exercise3.02/Exercise3_02.ipynb | 5 ++- Lab03/Exercise3.06/Exercise3_06.ipynb | 5 ++- Lab06/Exercise6.05/Exercise6_05.ipynb | 5 ++- Lab06/Exercise6.06/Exercise6_06.ipynb | 5 ++- Lab06/Exercise6.07/Exercise6_07.ipynb | 5 ++- Lab06/Exercise6.08/Exercise6_08.ipynb | 5 ++- Lab06/Exercise6.09/Exercise6_09.ipynb | 5 ++- Lab06/Exercise6.10/Exercise6_10.ipynb | 5 ++- Lab06/Exercise6.11/Exercise6_11.ipynb | 5 ++- Lab06/Exercise6.12/Exercise6_12.ipynb | 5 ++- Lab06/Exercise6.13/Exercise6_13.ipynb | 4 ++- Lab06/Exercise6.14/Exercise6_14.ipynb | 4 ++- Lab06/Old/Exercise6_11/Exercise6_11.ipynb | 9 ++++-- Lab08/Exercise8.02/Exercise_8_2.ipynb | 31 ++++++++++++++++--- ...odel_with_Random_Under_sampling_v1_0.ipynb | 5 ++- ...ic_Regression_Model_with_MSMOTE_v1_0.ipynb | 18 +++-------- ...=> Lab_13_Unbalanced_Data_sets_v1.0.ipynb} | 0 ...of_ensemble_learning_techniques_v1_0.ipynb | 4 ++- ...15_05_Ensemble_learning_Bagging_v1_0.ipynb | 4 ++- ...5_06_Ensemble_learning_Boosting_v1_0.ipynb | 4 ++- ...ise_15_07_Ensemble_learning_Stacking.ipynb | 4 ++- ..._multiple_models_using_Pipeline_v1_0.ipynb | 4 ++- ...cross_validation_using_Pipeline_v1_0.ipynb | 4 ++- Lab18/Activity18.01/Activity18_1.ipynb | 13 ++++++-- Lab18/Exercise18.01/Exercise18_01.ipynb | 11 +++++-- Lab18/Exercise18.02/Exercise18_02.ipynb | 6 ++-- Lab18/Exercise18.03/Exercise18_03.ipynb | 8 +++-- 28 files changed, 136 insertions(+), 52 deletions(-) rename Lab13/{Chapter_13_Unbalanced_Data_sets_v1.0.ipynb => Lab_13_Unbalanced_Data_sets_v1.0.ipynb} (100%) diff --git a/Lab01/Exercise1.03/Exercise1_03.ipynb b/Lab01/Exercise1.03/Exercise1_03.ipynb index 26486a8..cb79cbe 100644 --- a/Lab01/Exercise1.03/Exercise1_03.ipynb +++ b/Lab01/Exercise1.03/Exercise1_03.ipynb @@ -10,7 +10,10 @@ }, "outputs": [], "source": [ - "from sklearn.datasets import load_breast_cancer" + "from sklearn.datasets import load_breast_cancer\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab03/Exercise3.02/Exercise3_02.ipynb b/Lab03/Exercise3.02/Exercise3_02.ipynb index 8722a5d..9e2e513 100644 --- a/Lab03/Exercise3.02/Exercise3_02.ipynb +++ b/Lab03/Exercise3.02/Exercise3_02.ipynb @@ -11,7 +11,10 @@ "outputs": [], "source": [ "import pandas as pd\n", - "import altair as alt" + "import altair as alt\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab03/Exercise3.06/Exercise3_06.ipynb b/Lab03/Exercise3.06/Exercise3_06.ipynb index 72077bb..990fa70 100644 --- a/Lab03/Exercise3.06/Exercise3_06.ipynb +++ b/Lab03/Exercise3.06/Exercise3_06.ipynb @@ -12,7 +12,10 @@ "source": [ "# Importing necessary packages\n", "import pandas as pd\n", - "import altair as alt" + "import altair as alt\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.05/Exercise6_05.ipynb b/Lab06/Exercise6.05/Exercise6_05.ipynb index 5a5ee72..aa9eceb 100644 --- a/Lab06/Exercise6.05/Exercise6_05.ipynb +++ b/Lab06/Exercise6.05/Exercise6_05.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.06/Exercise6_06.ipynb b/Lab06/Exercise6.06/Exercise6_06.ipynb index 9827397..53b4064 100644 --- a/Lab06/Exercise6.06/Exercise6_06.ipynb +++ b/Lab06/Exercise6.06/Exercise6_06.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.07/Exercise6_07.ipynb b/Lab06/Exercise6.07/Exercise6_07.ipynb index 1a09448..00031ab 100644 --- a/Lab06/Exercise6.07/Exercise6_07.ipynb +++ b/Lab06/Exercise6.07/Exercise6_07.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.08/Exercise6_08.ipynb b/Lab06/Exercise6.08/Exercise6_08.ipynb index 4d6a4f6..9bf60f0 100644 --- a/Lab06/Exercise6.08/Exercise6_08.ipynb +++ b/Lab06/Exercise6.08/Exercise6_08.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.09/Exercise6_09.ipynb b/Lab06/Exercise6.09/Exercise6_09.ipynb index e25c888..4c097c1 100644 --- a/Lab06/Exercise6.09/Exercise6_09.ipynb +++ b/Lab06/Exercise6.09/Exercise6_09.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.10/Exercise6_10.ipynb b/Lab06/Exercise6.10/Exercise6_10.ipynb index d2f9ce4..3c24b44 100644 --- a/Lab06/Exercise6.10/Exercise6_10.ipynb +++ b/Lab06/Exercise6.10/Exercise6_10.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.11/Exercise6_11.ipynb b/Lab06/Exercise6.11/Exercise6_11.ipynb index 3599e04..bc09888 100644 --- a/Lab06/Exercise6.11/Exercise6_11.ipynb +++ b/Lab06/Exercise6.11/Exercise6_11.ipynb @@ -23,7 +23,10 @@ "# import libraries\n", "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.12/Exercise6_12.ipynb b/Lab06/Exercise6.12/Exercise6_12.ipynb index f5740ed..61afd94 100644 --- a/Lab06/Exercise6.12/Exercise6_12.ipynb +++ b/Lab06/Exercise6.12/Exercise6_12.ipynb @@ -25,7 +25,10 @@ "from sklearn.model_selection import train_test_split\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.metrics import roc_curve\n", - "from sklearn.metrics import auc" + "from sklearn.metrics import auc\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.13/Exercise6_13.ipynb b/Lab06/Exercise6.13/Exercise6_13.ipynb index b25f3ae..9f600ac 100644 --- a/Lab06/Exercise6.13/Exercise6_13.ipynb +++ b/Lab06/Exercise6.13/Exercise6_13.ipynb @@ -25,7 +25,9 @@ "from sklearn.model_selection import train_test_split\n", "from sklearn.linear_model import LogisticRegression\n", "from sklearn.metrics import roc_curve\n", - "from sklearn.metrics import auc" + "from sklearn.metrics import auc\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Exercise6.14/Exercise6_14.ipynb b/Lab06/Exercise6.14/Exercise6_14.ipynb index 8dc8b88..3acd502 100644 --- a/Lab06/Exercise6.14/Exercise6_14.ipynb +++ b/Lab06/Exercise6.14/Exercise6_14.ipynb @@ -22,7 +22,9 @@ "source": [ "import pandas as pd\n", "from sklearn.model_selection import train_test_split\n", - "from sklearn.linear_model import LinearRegression\n" + "from sklearn.linear_model import LinearRegression\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab06/Old/Exercise6_11/Exercise6_11.ipynb b/Lab06/Old/Exercise6_11/Exercise6_11.ipynb index 3b457b1..79b5a0c 100644 --- a/Lab06/Old/Exercise6_11/Exercise6_11.ipynb +++ b/Lab06/Old/Exercise6_11/Exercise6_11.ipynb @@ -16,7 +16,10 @@ "\n", "from sklearn.model_selection import train_test_split \n", "\n", - "from sklearn.linear_model import LogisticRegression" + "from sklearn.linear_model import LogisticRegression\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { @@ -202,7 +205,7 @@ "# Plot the RoC \n", "# Uncomment the following block of code to see the plot\n", "\n", - "'''import matplotlib.pyplot as plt \n", + "import matplotlib.pyplot as plt \n", "\n", "%matplotlib inline \n", "\n", @@ -220,7 +223,7 @@ "\n", "plt.title('Receiver Operating Characteristic') \n", "\n", - "plt.show() '''" + "plt.show()" ] } ], diff --git a/Lab08/Exercise8.02/Exercise_8_2.ipynb b/Lab08/Exercise8.02/Exercise_8_2.ipynb index 3b8a8e9..5222723 100644 --- a/Lab08/Exercise8.02/Exercise_8_2.ipynb +++ b/Lab08/Exercise8.02/Exercise_8_2.ipynb @@ -277,12 +277,33 @@ "outputs": [], "source": [ "# visualize the result\n", - "#(\n", - "# results.loc[:,['params','mean_test_score']]\n", - "# .sort_values('mean_test_score', ascending=True)\n", - "# .plot.barh(x='params', xlim=(0.8))\n", - "#)" + "(\n", + " results.loc[:,['params','mean_test_score']]\n", + " .sort_values('mean_test_score', ascending=True)\n", + " .plot.barh(x='params', xlim=(0.8))\n", + ")" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/Lab13/Exercise13.02/Exercise_13_02_Logistic_Regression_Model_with_Random_Under_sampling_v1_0.ipynb b/Lab13/Exercise13.02/Exercise_13_02_Logistic_Regression_Model_with_Random_Under_sampling_v1_0.ipynb index 273a15c..f3725cc 100644 --- a/Lab13/Exercise13.02/Exercise_13_02_Logistic_Regression_Model_with_Random_Under_sampling_v1_0.ipynb +++ b/Lab13/Exercise13.02/Exercise_13_02_Logistic_Regression_Model_with_Random_Under_sampling_v1_0.ipynb @@ -11,7 +11,10 @@ "outputs": [], "source": [ "# Loading the necessary library files\n", - "import pandas as pd" + "import pandas as pd\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab13/Exercise13.04/Exercise_13_04_Logistic_Regression_Model_with_MSMOTE_v1_0.ipynb b/Lab13/Exercise13.04/Exercise_13_04_Logistic_Regression_Model_with_MSMOTE_v1_0.ipynb index f41f35b..53d17d9 100644 --- a/Lab13/Exercise13.04/Exercise_13_04_Logistic_Regression_Model_with_MSMOTE_v1_0.ipynb +++ b/Lab13/Exercise13.04/Exercise_13_04_Logistic_Regression_Model_with_MSMOTE_v1_0.ipynb @@ -1,18 +1,5 @@ { "cells": [ - { - "cell_type": "code", - "execution_count": null, - "metadata": { - "colab": {}, - "colab_type": "code", - "id": "45Bl5J8c07xl" - }, - "outputs": [], - "source": [ - "!pip install smote-variants" - ] - }, { "cell_type": "code", "execution_count": null, @@ -24,7 +11,10 @@ "outputs": [], "source": [ "# Loading the necessary library files\n", - "import pandas as pd" + "import pandas as pd\n", + "\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab13/Chapter_13_Unbalanced_Data_sets_v1.0.ipynb b/Lab13/Lab_13_Unbalanced_Data_sets_v1.0.ipynb similarity index 100% rename from Lab13/Chapter_13_Unbalanced_Data_sets_v1.0.ipynb rename to Lab13/Lab_13_Unbalanced_Data_sets_v1.0.ipynb diff --git a/Lab15/Activity15.02/Activity_15_02_Comparison_of_ensemble_learning_techniques_v1_0.ipynb b/Lab15/Activity15.02/Activity_15_02_Comparison_of_ensemble_learning_techniques_v1_0.ipynb index 3bb4ef7..60fca8b 100644 --- a/Lab15/Activity15.02/Activity_15_02_Comparison_of_ensemble_learning_techniques_v1_0.ipynb +++ b/Lab15/Activity15.02/Activity_15_02_Comparison_of_ensemble_learning_techniques_v1_0.ipynb @@ -10,7 +10,9 @@ }, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab15/Exercise15.05/Exercise_15_05_Ensemble_learning_Bagging_v1_0.ipynb b/Lab15/Exercise15.05/Exercise_15_05_Ensemble_learning_Bagging_v1_0.ipynb index ff930cc..22aaef7 100644 --- a/Lab15/Exercise15.05/Exercise_15_05_Ensemble_learning_Bagging_v1_0.ipynb +++ b/Lab15/Exercise15.05/Exercise_15_05_Ensemble_learning_Bagging_v1_0.ipynb @@ -10,7 +10,9 @@ }, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab15/Exercise15.06/Exercise_15_06_Ensemble_learning_Boosting_v1_0.ipynb b/Lab15/Exercise15.06/Exercise_15_06_Ensemble_learning_Boosting_v1_0.ipynb index 544178c..1bdbb66 100644 --- a/Lab15/Exercise15.06/Exercise_15_06_Ensemble_learning_Boosting_v1_0.ipynb +++ b/Lab15/Exercise15.06/Exercise_15_06_Ensemble_learning_Boosting_v1_0.ipynb @@ -10,7 +10,9 @@ }, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab15/Exercise15.07/Exercise_15_07_Ensemble_learning_Stacking.ipynb b/Lab15/Exercise15.07/Exercise_15_07_Ensemble_learning_Stacking.ipynb index 2015c8f..eed7d38 100644 --- a/Lab15/Exercise15.07/Exercise_15_07_Ensemble_learning_Stacking.ipynb +++ b/Lab15/Exercise15.07/Exercise_15_07_Ensemble_learning_Stacking.ipynb @@ -10,7 +10,9 @@ }, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab16/Exercise16.05/Exercise_16_05_Spot_checking_multiple_models_using_Pipeline_v1_0.ipynb b/Lab16/Exercise16.05/Exercise_16_05_Spot_checking_multiple_models_using_Pipeline_v1_0.ipynb index 6a44be3..9990655 100644 --- a/Lab16/Exercise16.05/Exercise_16_05_Spot_checking_multiple_models_using_Pipeline_v1_0.ipynb +++ b/Lab16/Exercise16.05/Exercise_16_05_Spot_checking_multiple_models_using_Pipeline_v1_0.ipynb @@ -10,7 +10,9 @@ }, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab16/Exercise16.06/Exercise_16_06_Grid_search_and_cross_validation_using_Pipeline_v1_0.ipynb b/Lab16/Exercise16.06/Exercise_16_06_Grid_search_and_cross_validation_using_Pipeline_v1_0.ipynb index 754c2d3..4c5d2c7 100644 --- a/Lab16/Exercise16.06/Exercise_16_06_Grid_search_and_cross_validation_using_Pipeline_v1_0.ipynb +++ b/Lab16/Exercise16.06/Exercise_16_06_Grid_search_and_cross_validation_using_Pipeline_v1_0.ipynb @@ -10,7 +10,9 @@ }, "outputs": [], "source": [ - "import pandas as pd" + "import pandas as pd\n", + "import warnings\n", + "warnings.filterwarnings(\"ignore\")" ] }, { diff --git a/Lab18/Activity18.01/Activity18_1.ipynb b/Lab18/Activity18.01/Activity18_1.ipynb index 0db389f..d21bf96 100644 --- a/Lab18/Activity18.01/Activity18_1.ipynb +++ b/Lab18/Activity18.01/Activity18_1.ipynb @@ -350,7 +350,7 @@ }, "outputs": [], "source": [ - "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':80})\n", + "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':8080})\n", "flask_thread.start()" ] }, @@ -394,7 +394,9 @@ "outputs": [], "source": [ "headers = {'content-type': 'application/json', 'Accept-Charset': 'UTF-8'}\n", - "ip_address = socket.gethostbyname(socket.gethostname())" + "ip_address = socket.gethostbyname(socket.gethostname()) + ':8080'\n", + "\n", + "ip_address" ] }, { @@ -425,6 +427,13 @@ "r = requests.post(f\"http://{ip_address}/api\", data=record, headers=headers)\n", "r.text" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/Lab18/Exercise18.01/Exercise18_01.ipynb b/Lab18/Exercise18.01/Exercise18_01.ipynb index 0da3d11..d954802 100644 --- a/Lab18/Exercise18.01/Exercise18_01.ipynb +++ b/Lab18/Exercise18.01/Exercise18_01.ipynb @@ -42,7 +42,7 @@ }, "outputs": [], "source": [ - "ip_address = socket.gethostbyname(socket.gethostname())\n", + "ip_address = socket.gethostbyname(socket.gethostname()) + ':8080'\n", "ip_address" ] }, @@ -99,7 +99,7 @@ }, "outputs": [], "source": [ - "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':80})\n", + "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':8080})\n", "flask_thread.start()" ] }, @@ -244,6 +244,13 @@ "r_not_empty = requests.post(f\"http://{ip_address}/empty\", data=not_empty_json, headers=headers)\n", "r_not_empty.text" ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] } ], "metadata": { diff --git a/Lab18/Exercise18.02/Exercise18_02.ipynb b/Lab18/Exercise18.02/Exercise18_02.ipynb index 913020e..f4f78b1 100644 --- a/Lab18/Exercise18.02/Exercise18_02.ipynb +++ b/Lab18/Exercise18.02/Exercise18_02.ipynb @@ -26,7 +26,7 @@ }, "outputs": [], "source": [ - "file_url = '../dataset/breast-cancer-wisconsin.data'" + "file_url = '../Dataset/breast-cancer-wisconsin.data'" ] }, { @@ -304,7 +304,7 @@ }, "outputs": [], "source": [ - "ip_address = socket.gethostbyname(socket.gethostname())\n", + "ip_address = socket.gethostbyname(socket.gethostname()) + '8080'\n", "ip_address" ] }, @@ -377,7 +377,7 @@ }, "outputs": [], "source": [ - "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':80})\n", + "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':8080})\n", "flask_thread.start()" ] }, diff --git a/Lab18/Exercise18.03/Exercise18_03.ipynb b/Lab18/Exercise18.03/Exercise18_03.ipynb index b53e603..151f4da 100644 --- a/Lab18/Exercise18.03/Exercise18_03.ipynb +++ b/Lab18/Exercise18.03/Exercise18_03.ipynb @@ -25,7 +25,7 @@ }, "outputs": [], "source": [ - "file_url = '../dataset/breast-cancer-wisconsin.data'" + "file_url = '../Dataset/breast-cancer-wisconsin.data'" ] }, { @@ -378,7 +378,7 @@ }, "outputs": [], "source": [ - "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':80})\n", + "flask_thread = threading.Thread(target=app.run, kwargs={'host':'0.0.0.0','port':8080})\n", "flask_thread.start()" ] }, @@ -422,7 +422,9 @@ "outputs": [], "source": [ "headers = {'content-type': 'application/json', 'Accept-Charset': 'UTF-8'}\n", - "ip_address = socket.gethostbyname(socket.gethostname())" + "ip_address = socket.gethostbyname(socket.gethostname()) + ':8080' \n", + "\n", + "ip_address" ] }, {