table modified #12

amit1rrr · 2018-11-26T08:59:47Z

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amit1rrr · 2019-02-14T08:05:21Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


This is bold comment.

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Reconsider this,

Following is written from GitHub Interface.

c= a+b
A
B
C

d = a +b

A
B
C

notebooks/03.09-Pivot-Tables.ipynb

amit1rrr · 2019-07-13T15:23:37Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


another one

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Heres another reply

amit1rrr · 2019-07-13T16:05:41Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


Spacing test again

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amit1rrr · 2019-07-16T08:23:06Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


Hey this is a test ?

Are you ready ?

after this multi line break

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amit1rrr · 2019-07-16T12:02:15Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


Testing comment

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amit1rrr · 2019-07-16T12:15:31Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


T

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amit1rrr · 2019-07-16T12:20:58Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


a

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amit1rrr · 2019-07-16T12:22:42Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


a

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<del_n7bd><div class=\"toc\"><ul class=\"toc-item\"><li><a href=\"#Export-Training-Samples\" data-toc-modified-id=\"Export-Training-Samples-1\">Export Training Samples</a></li><li><a href=\"#Data-Preparation\" data-toc-modified-id=\"Data-Preparation-2\">Data Preparation</a></li><li><a href=\"#Model-Training\" data-toc-modified-id=\"Model-Training-3\">Model Training</a><ul class=\"toc-item\"><li><a href=\"#Train-SingleShotDetector-Model\" data-toc-modified-id=\"Train-SingleShotDetector-Model-3.1\">Train SingleShotDetector Model</a></li><li><a href=\"#Find-the-good-learning-rate\" data-toc-modified-id=\"Find-the-good-learning-rate-3.2\">Find the good learning rate</a></li><li><a href=\"#Train-the-model\" data-toc-modified-id=\"Train-the-model-3.3\">Train the model</a></li><li><a href=\"#Unfreezing-the-backbone-and-fine-tuning\" data-toc-modified-id=\"Unfreezing-the-backbone-and-fine-tuning-3.4\">Unfreezing the backbone and fine-tuning</a></li><li><a href=\"#Visualize-results\" data-toc-modified-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-and-load-trained-models\" data-toc-modified-id=\"Save-and-load-trained-models-3.6\">Save and load trained models</a></li></ul></li><li><a href=\"#Deploy-trained-model\" data-toc-modified-id=\"Deploy-trained-model-4\">Deploy trained model</a></li><li><a href=\"#Model-management\" data-toc-modified-id=\"Model-management-5\">Model management</a></li><li><a href=\"#Model-inference\" data-toc-modified-id=\"Model-inference-6\">Model inference</a><ul class=\"toc-item\"><li><a href=\"#Visualize-results\" data-toc-modified-id=\"Visualize-results-6.1\">Visualize results</a></li></ul></li></ul></div></del_n7bd>

amit1rrr · 2019-07-16T13:12:45Z

id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-

amit1rrr · 2019-07-16T13:13:28Z

id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-id=\"Visualize-results-3.5\">Visualize results</a></li><li><a href=\"#Save-

amit1rrr · 2019-07-16T13:14:35Z

This is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In codeThis is useful, but we might like to go one step deeper and look at survival by both sex and, say, class. Using the vocabulary of GroupBy, we might proceed using something like this: we group by class and gender, select survival, apply a mean aggregate, combine the resulting groups, and then unstack the hierarchical index to reveal the hidden multidimensionality. In code

amit1rrr · 2019-07-16T13:19:30Z

commit = Repository(repo_name, owner_login, user=user).get_commit(oid)

serializer = CommitSerializer(instance=commit.fill_info())

Audit.objects.create(user=user, api=Audit.COMMIT_INFO, owner_login=owner_login, repo_name=repo_name, commit_oid=oid)

return Response(serializer.data)

amit1rrr · 2019-08-02T16:56:22Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


Comment on import statement

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amit1rrr · 2019-08-02T16:56:22Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


another comment on titanic

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amit1rrr · 2020-09-28T08:36:04Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


To start learning more about this data, we might begin by grouping according to gTo start learning more about this data, we might begin by grouping according to g

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amit2rrr · 2020-09-30T16:19:15Z

notebooks/03.09-Pivot-Tables.ipynb

       "      <th></th>\n",
       "      <th>survived</th>\n",
       "      <th>pclass</th>\n",
       "      <th>sex</th>\n",


this is a PR review

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table modified

8e9b309

accesslint bot approved these changes Nov 26, 2018

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amit1rrr commented Feb 14, 2019

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amit1rrr commented Sep 28, 2020

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table modified #12

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table modified #12

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amit1rrr commented Nov 26, 2018

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