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69046156 | [{"cell_type": "markdown", "source": "# Tomato Leaf Disease Detection 0.998 [inference]", "metadata": {}}, {"cell_type": "markdown", "source": "### Hi kagglers, This is `inference` notebook using `Keras`.\n\n> \n> [Tomato Leaf Disease Detection 0.998 [Training]](https://www.kaggle.com/ammarnassanalhajali/tomato-leaf-d... | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046156.ipynb | tomato-diseases-dataset-csvimages | ammarnassanalhajali | [{"Id": 69046156, "ScriptId": 17307062, "ParentScriptVersionId": NaN, "ScriptLanguageId": 9, "AuthorUserId": 5966695, "CreationDate": "07/26/2021 08:36:05", "VersionNumber": 5.0, "Title": "Tomato Leaf Disease Detection 0.998 [inference]", "EvaluationDate": "07/26/2021", "IsChange": true, "TotalLines": 227.0, "LinesInse... | [{"Id": 91775532, "KernelVersionId": 69046156, "SourceDatasetVersionId": 2222983}] | [{"Id": 2222983, "DatasetId": 1335181, "DatasourceVersionId": 2264687, "CreatorUserId": 5966695, "LicenseName": "Unknown", "CreationDate": "05/12/2021 00:09:31", "VersionNumber": 1.0, "Title": "Tomato Diseases Dataset (CSV+Images)", "Slug": "tomato-diseases-dataset-csvimages", "Subtitle": NaN, "Description": NaN, "Vers... | [{"Id": 1335181, "CreatorUserId": 5966695, "OwnerUserId": 5966695.0, "OwnerOrganizationId": NaN, "CurrentDatasetVersionId": 2222983.0, "CurrentDatasourceVersionId": 2264687.0, "ForumId": 1354120, "Type": 2, "CreationDate": "05/12/2021 00:09:31", "LastActivityDate": "05/12/2021", "TotalViews": 5441, "TotalDownloads": 51... | [{"Id": 5966695, "UserName": "ammarnassanalhajali", "DisplayName": "Ammar Alhaj Ali", "RegisterDate": "10/15/2020", "PerformanceTier": 4}] | # # Tomato Leaf Disease Detection 0.998 [inference]
# ### Hi kagglers, This is `inference` notebook using `Keras`.
# >
# > [Tomato Leaf Disease Detection 0.998 [Training]](https://www.kaggle.com/ammarnassanalhajali/tomato-leaf-disease-detection-0-998-training)
# ### Please if this kernel is useful, please upvote !!
im... |
69046074 | [{"cell_type": "code", "source": "import numpy as np\nimport pandas as pd\nimport os\nimport tensorflow as tf\nimport cv2\nimport matplotlib.pyplot as plt\nimport tensorflow as tf\nimport nibabel as nib", "metadata": {"trusted": true}, "execution_count": null, "outputs": []}, {"cell_type": "code", "source": "image_path... | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046074.ipynb | mosmeddata-fullchestct | ahmedamineafardas | [{"Id": 69046074, "ScriptId": 18591601, "ParentScriptVersionId": NaN, "ScriptLanguageId": 9, "AuthorUserId": 7118898, "CreationDate": "07/26/2021 08:34:50", "VersionNumber": 1.0, "Title": "Biotech MosMed Dataset model", "EvaluationDate": "07/26/2021", "IsChange": true, "TotalLines": 219.0, "LinesInsertedFromPrevious": ... | [{"Id": 91775379, "KernelVersionId": 69046074, "SourceDatasetVersionId": 2076367}] | [{"Id": 2076367, "DatasetId": 1244618, "DatasourceVersionId": 2116675, "CreatorUserId": 7051386, "LicenseName": "Unknown", "CreationDate": "04/01/2021 04:22:08", "VersionNumber": 1.0, "Title": "MosMedData FullChestCT", "Slug": "mosmeddata-fullchestct", "Subtitle": NaN, "Description": NaN, "VersionNotes": "Initial relea... | [{"Id": 1244618, "CreatorUserId": 7051386, "OwnerUserId": 7051386.0, "OwnerOrganizationId": NaN, "CurrentDatasetVersionId": 2076367.0, "CurrentDatasourceVersionId": 2116675.0, "ForumId": 1262902, "Type": 2, "CreationDate": "04/01/2021 04:22:08", "LastActivityDate": "04/01/2021", "TotalViews": 1017, "TotalDownloads": 52... | [{"Id": 7051386, "UserName": "ahmedamineafardas", "DisplayName": "ahmed amine afardas", "RegisterDate": "03/28/2021", "PerformanceTier": 0}] | import numpy as np
import pandas as pd
import os
import tensorflow as tf
import cv2
import matplotlib.pyplot as plt
import tensorflow as tf
import nibabel as nib
image_paths0 = []
labels0 = []
for dirname, _, filenames in os.walk(
"../input/mosmeddata-fullchestct/COVID19_1110/studies/CT-0"
):
for filename in f... |
69046611 | [{"cell_type": "code", "source": "import numpy as np\nimport pandas as pd\nimport xgboost as xgb\nfrom sklearn.preprocessing import MinMaxScaler\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.model_selection import GridSearchCV\nfrom sklearn.multioutput import MultiOutputRegressor\nimport os\nfor d... | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046611.ipynb | null | null | [{"Id": 69046611, "ScriptId": 18816238, "ParentScriptVersionId": NaN, "ScriptLanguageId": 9, "AuthorUserId": 7392108, "CreationDate": "07/26/2021 08:43:12", "VersionNumber": 3.0, "Title": "XGBoost", "EvaluationDate": "07/26/2021", "IsChange": true, "TotalLines": 120.0, "LinesInsertedFromPrevious": 1.0, "LinesChangedFro... | null | null | null | null | import numpy as np
import pandas as pd
import xgboost as xgb
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.multioutput import MultiOutputRegressor
import os
for dirname, _, filenames in os.walk("/kaggle/... |
69046436 | [{"cell_type": "code", "source": "# This Python 3 environment comes with many helpful analytics libraries installed\n# It is defined by the kaggle/python Docker image: https://github.com/kaggle/docker-python\n# For example, here's several helpful packages to load\n\nimport numpy as np \nimport pandas as pd\nfrom sklear... | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046436.ipynb | null | null | [{"Id": 69046436, "ScriptId": 18841428, "ParentScriptVersionId": NaN, "ScriptLanguageId": 9, "AuthorUserId": 6947038, "CreationDate": "07/26/2021 08:40:25", "VersionNumber": 1.0, "Title": "HousePricePrediction", "EvaluationDate": "07/26/2021", "IsChange": true, "TotalLines": 411.0, "LinesInsertedFromPrevious": 265.0, "... | null | null | null | null | import numpy as np
import pandas as pd
from sklearn.impute import SimpleImputer, KNNImputer
from sklearn.ensemble import (
RandomForestRegressor,
GradientBoostingRegressor,
ExtraTreesRegressor,
)
import matplotlib.pyplot as plt
import plotly.graph_objects as go
import plotly.express as px
import seaborn as ... |
69046416 | [{"cell_type": "markdown", "source": "# King County Houses Prices: \n## Neigborhoods Classification\n<p>\nIn this notebook, I used an other dataset (SEA Building Energy Benchmarking (Source bellow)) which give us for each building GPS coords and the neighborhood (North, East, Ballard, Delridge, etc) .<br>\n I cleane... | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046416.ipynb | housesalesprediction | harlfoxem | [{"Id": 69046416, "ScriptId": 18825679, "ParentScriptVersionId": NaN, "ScriptLanguageId": 9, "AuthorUserId": 7571614, "CreationDate": "07/26/2021 08:39:57", "VersionNumber": 4.0, "Title": "King County Houses Neighborhood Classification", "EvaluationDate": "07/26/2021", "IsChange": true, "TotalLines": 269.0, "LinesInser... | [{"Id": 91775956, "KernelVersionId": 69046416, "SourceDatasetVersionId": 270}] | [{"Id": 270, "DatasetId": 128, "DatasourceVersionId": 270, "CreatorUserId": 680332, "LicenseName": "CC0: Public Domain", "CreationDate": "08/25/2016 15:52:49", "VersionNumber": 1.0, "Title": "House Sales in King County, USA", "Slug": "housesalesprediction", "Subtitle": "Predict house price using regression", "Descripti... | [{"Id": 128, "CreatorUserId": 680332, "OwnerUserId": 680332.0, "OwnerOrganizationId": NaN, "CurrentDatasetVersionId": 270.0, "CurrentDatasourceVersionId": 270.0, "ForumId": 1447, "Type": 2, "CreationDate": "08/25/2016 15:52:49", "LastActivityDate": "02/06/2018", "TotalViews": 996866, "TotalDownloads": 172516, "TotalVot... | [{"Id": 680332, "UserName": "harlfoxem", "DisplayName": "harlfoxem", "RegisterDate": "08/05/2016", "PerformanceTier": 1}] | # # King County Houses Prices:
# ## Neigborhoods Classification
# In this notebook, I used an other dataset (SEA Building Energy Benchmarking (Source bellow)) which give us for each building GPS coords and the neighborhood (North, East, Ballard, Delridge, etc) .
# I cleaned the dataset as part of a project for a data s... |
69046500 | [{"cell_type": "code", "source": "import numpy as np\nimport pandas as pd\nimport xgboost as xgb\nfrom sklearn.preprocessing import MinMaxScaler\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.model_selection import GridSearchCV\nfrom sklearn.multioutput import MultiOutputRegressor\nimport os\nfor d... | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046500.ipynb | null | null | [{"Id": 69046500, "ScriptId": 18816238, "ParentScriptVersionId": NaN, "ScriptLanguageId": 9, "AuthorUserId": 7392108, "CreationDate": "07/26/2021 08:41:26", "VersionNumber": 2.0, "Title": "XGBoost", "EvaluationDate": "07/26/2021", "IsChange": true, "TotalLines": 120.0, "LinesInsertedFromPrevious": 76.0, "LinesChangedFr... | null | null | null | null | import numpy as np
import pandas as pd
import xgboost as xgb
from sklearn.preprocessing import MinMaxScaler
from sklearn.model_selection import train_test_split
from sklearn.model_selection import GridSearchCV
from sklearn.multioutput import MultiOutputRegressor
import os
for dirname, _, filenames in os.walk("/kaggle/... |
69046748 | "[{\"cell_type\": \"code\", \"source\": \"!pip install -q py-readability-metrics\", \"metadata\": {\(...TRUNCATED) | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046748.ipynb | commonlit-various | markwijkhuizen | "[{\"Id\": 69046748, \"ScriptId\": 17247939, \"ParentScriptVersionId\": NaN, \"ScriptLanguageId\": 9(...TRUNCATED) | "[{\"Id\": 91776584, \"KernelVersionId\": 69046748, \"SourceDatasetVersionId\": 2462427}, {\"Id\": 9(...TRUNCATED) | "[{\"Id\": 2462427, \"DatasetId\": 1390791, \"DatasourceVersionId\": 2504854, \"CreatorUserId\": 443(...TRUNCATED) | "[{\"Id\": 1390791, \"CreatorUserId\": 4433335, \"OwnerUserId\": 4433335.0, \"OwnerOrganizationId\":(...TRUNCATED) | "[{\"Id\": 4433335, \"UserName\": \"markwijkhuizen\", \"DisplayName\": \"Mark Wijkhuizen\", \"Regist(...TRUNCATED) | "import warnings\n\nwarnings.simplefilter(\"ignore\")\nimport numpy as np\nimport pandas as pd\nimpo(...TRUNCATED) |
69046772 | "[{\"cell_type\": \"code\", \"source\": \"# This Python 3 environment comes with many helpful analyt(...TRUNCATED) | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046772.ipynb | null | null | "[{\"Id\": 69046772, \"ScriptId\": 18842152, \"ParentScriptVersionId\": NaN, \"ScriptLanguageId\": 9(...TRUNCATED) | null | null | null | null | "import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd(...TRUNCATED) |
69046835 | "[{\"cell_type\": \"code\", \"source\": \"# This Python 3 environment comes with many helpful analyt(...TRUNCATED) | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046835.ipynb | shark-attack-dataset | felipeesc | "[{\"Id\": 69046835, \"ScriptId\": 18842772, \"ParentScriptVersionId\": NaN, \"ScriptLanguageId\": 9(...TRUNCATED) | [{"Id": 91776789, "KernelVersionId": 69046835, "SourceDatasetVersionId": 2462873}] | "[{\"Id\": 2462873, \"DatasetId\": 1490782, \"DatasourceVersionId\": 2505301, \"CreatorUserId\": 775(...TRUNCATED) | "[{\"Id\": 1490782, \"CreatorUserId\": 7756990, \"OwnerUserId\": 7756990.0, \"OwnerOrganizationId\":(...TRUNCATED) | "[{\"Id\": 7756990, \"UserName\": \"felipeesc\", \"DisplayName\": \"Felipe_Esc\", \"RegisterDate\": (...TRUNCATED) | "import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd(...TRUNCATED) |
69046608 | "[{\"cell_type\": \"code\", \"source\": \"# This Python 3 environment comes with many helpful analyt(...TRUNCATED) | /fsx/loubna/kaggle_data/kaggle-code-data/data/0069/046/69046608.ipynb | null | null | "[{\"Id\": 69046608, \"ScriptId\": 18842199, \"ParentScriptVersionId\": NaN, \"ScriptLanguageId\": 9(...TRUNCATED) | null | null | null | null | "import numpy as np # linear algebra\nimport pandas as pd # data processing, CSV file I/O (e.g. pd(...TRUNCATED) |
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