New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!
\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!
\nNew to Kaggle? Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
\nReady to dive into this competition? Review the Overview Description and start to work with the Data!
\n\n", "messages": [ { "id": 1312350, "postDate": "2021-05-18T02:14:29.923Z", "content": "Remember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.
\n
New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with!
\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!
\nNew to Kaggle? Take a look at a few videos to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
\nReady to dive into this competition? Review the Overview Description and start to work with the Data!
\n\n", "rawMarkdown": "New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with! \n\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!\n\nNew to Kaggle? Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&v=GJBOMWpLpTQ).\n\nReady to dive into this competition? Review the [Overview Description](https://www.kaggle.com/c/siim-covid19-detection/overview) and start to work with the [Data](https://www.kaggle.com/c/siim-covid19-detection/data)!\n\n> **Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our [Kaggle community guidelines](https://www.kaggle.com/community-guidelines).", "votes": 36 }, { "id": 1337252, "postDate": "2021-06-05T14:00:30.483Z", "content": "Remember: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our Kaggle community guidelines.
\n
than you for that.
", "rawMarkdown": "than you for that.", "votes": 1 }, { "id": 1318746, "postDate": "2021-05-22T14:37:26.377Z", "content": "Yeah I'm new this field can you please gudie me
", "rawMarkdown": "Yeah I'm new this field can you please gudie me ", "votes": -1 }, { "id": 2247761, "postDate": "2023-05-06T09:08:28.607Z", "content": "first thank you
\nhow to start , i am a beginner , i will try above guides and links , thanks again
Great job👍🏼
", "rawMarkdown": "Great job👍🏼" }, { "id": 1388132, "postDate": "2021-07-14T17:08:11.623Z", "content": "I am new to this competitions in kaggle
\ni have knowledge in basic neural networks and CNN. When I read some of the open notebooks from leaderboard I hardly understand anything.
\nI see lots of different modules being used which i am unaware of.
\nCan someone suggests me what topics I should be learning in order to Understand these types of codes.
I did understand the expected submission format
\nbut was confused with the train_image_level.csv label column format
\nopacity 1 789.28836 582.43035 1815.94498 2499.73327
\nshouldn't the first string be one of the 4 'Negative for Pneumonia' 'Typical Appearance' 'Indeterminate Appearance' 'Atypical Appearance
hi sir/mam
\nplease tell me from where we can download dataset.
I checked discussions and notebooks, however I didn't succeed to figure out how should I make a valid notebook submission that contains model pre-trained on my computer. In other words, suppose I have model.h5 file that contains my model and weights and my notebook is supposed to load tensorflow mode from this file and run inference.
\nI'll very appreciate if you could provide some instructions or links to relevant examples. Thank you.
in the upper right corner there is a button with a plus. you need to click on it and load your model.
", "rawMarkdown": "in the upper right corner there is a button with a plus. you need to click on it and load your model.", "votes": 1 }, { "id": 1377459, "postDate": "2021-07-05T21:13:39.293Z", "content": "Thank you.
\nJust to clarify:
Thanks again for your valuable help.
", "rawMarkdown": "Thank you. \nJust to clarify:\n1. Do you mean upper-right corner of \"notebook\" tab?\n2. Does it actually mean that all files that I upload to kaggle this way becomes available to this notebook, like if they are in my virtual home folder?\n3. I still have to load model from this file by calling tf.keras.models.load_model. Am I right?\n\nThanks again for your valuable help." } ] }, { "id": 1351944, "postDate": "2021-06-16T18:12:36.480Z", "content": "Is it Ok to use our local machines to train the model, in that case, I would be uploading my models and a notebook that generates an output using the model against the test data provided and the result is submitted - is this understanding correct?
", "rawMarkdown": "Is it Ok to use our local machines to train the model, in that case, I would be uploading my models and a notebook that generates an output using the model against the test data provided and the result is submitted - is this understanding correct?" }, { "id": 1341235, "postDate": "2021-06-08T14:26:19.333Z", "content": "Hello, I am relatively new on this site. though I do understand machine learning and have used it at work. but I am not sure how to deal with this data. I downloaded it and there are many files, and then I click open the train, and it has many files, and I open until I get to a DCM file (looks like an internet icon?) and I do not know what to do with that. can you advise? Thanks very much John
", "rawMarkdown": "Hello, I am relatively new on this site. though I do understand machine learning and have used it at work. but I am not sure how to deal with this data. I downloaded it and there are many files, and then I click open the train, and it has many files, and I open until I get to a DCM file (looks like an internet icon?) and I do not know what to do with that. can you advise? Thanks very much John", "replies": [ { "id": 1347960, "postDate": "2021-06-13T15:35:57.203Z", "content": "DICOM is the file format to store medical images, similar to JPEG format. You can use \"pydicom\" in python to read it, you can also use other software such as radiant to visualize it.
", "rawMarkdown": "DICOM is the file format to store medical images, similar to JPEG format. You can use \"pydicom\" in python to read it, you can also use other software such as radiant to visualize it.", "votes": 1 } ] }, { "id": 1328568, "postDate": "2021-05-30T11:10:49.590Z", "content": "Hello, may I cite and use this dataset in my graduation project?
", "rawMarkdown": "Hello, may I cite and use this dataset in my graduation project? " }, { "id": 1327815, "postDate": "2021-05-29T16:33:44.040Z", "content": "How to train on data where each image is in a separate folder within another folder, like in this dataset?
", "rawMarkdown": "How to train on data where each image is in a separate folder within another folder, like in this dataset? " }, { "id": 1324321, "postDate": "2021-05-26T19:52:41.797Z", "content": "Is TPU submission allowed?
", "rawMarkdown": "Is TPU submission allowed? ", "replies": [ { "id": 1324364, "postDate": "2021-05-26T20:51:22.597Z", "content": "@dskswu No, you may not make a code submission to this competition with TPUs enabled.
", "rawMarkdown": "@dskswu No, you may not make a code submission to this competition with TPUs enabled." } ] }, { "id": 2429653, "postDate": "2023-09-08T17:55:03.427Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1388053, "postDate": "2021-07-14T16:05:10.853Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1333289, "postDate": "2021-06-02T15:53:58.740Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1319035, "postDate": "2021-05-22T20:03:30.843Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1313643, "postDate": "2021-05-18T16:34:01.620Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1381375, "postDate": "2021-07-08T23:20:14.847Z", "content": "thank you
", "rawMarkdown": "thank you\n", "votes": 1 }, { "id": 1355333, "postDate": "2021-06-18T08:27:30.553Z", "content": "thank you
", "rawMarkdown": "thank you ", "votes": 1 }, { "id": 1346584, "postDate": "2021-06-12T13:47:12.407Z", "content": "thank you 👍
", "rawMarkdown": "thank you 👍", "votes": 1 }, { "id": 3028520, "postDate": "2024-10-26T07:36:07.497Z", "content": "Thank you :)
", "rawMarkdown": "Thank you :)" }, { "id": 2915499, "postDate": "2024-07-10T14:40:25.900Z", "content": "Thanks. Wish you succuess
", "rawMarkdown": "Thanks. Wish you succuess" }, { "id": 1381376, "postDate": "2021-07-08T23:24:12.813Z", "content": "thank you!
", "rawMarkdown": "thank you!" }, { "id": 1379456, "postDate": "2021-07-07T11:43:42.527Z", "content": "Thanks for encouraging!
", "rawMarkdown": "Thanks for encouraging!" }, { "id": 1358871, "postDate": "2021-06-20T20:52:07.187Z", "content": "Thank You! This is really encouraging.
", "rawMarkdown": "Thank You! This is really encouraging." }, { "id": 1358210, "postDate": "2021-06-20T09:08:06.187Z", "content": "Thank you!
", "rawMarkdown": "Thank you!" }, { "id": 1356404, "postDate": "2021-06-19T02:14:16.097Z", "content": "thank you!
", "rawMarkdown": "thank you!" }, { "id": 1320791, "postDate": "2021-05-24T10:20:10.037Z", "content": "Thank You!
", "rawMarkdown": "Thank You!" }, { "id": 1317704, "postDate": "2021-05-21T16:05:27.353Z", "content": "Thank You! This is really helpful
", "rawMarkdown": "Thank You! This is really helpful" }, { "id": 1317512, "postDate": "2021-05-21T12:59:52.187Z", "content": "Thanks ma'am for the resource.
", "rawMarkdown": "Thanks ma'am for the resource." }, { "id": 1315249, "postDate": "2021-05-19T16:56:53.247Z", "content": "Thanks for the resources.
", "rawMarkdown": "Thanks for the resources." } ], "comments": [ { "id": 1337252, "author_name": "tensor choko", "author_url": "", "post_date": "2021-06-05T14:00:30.483000", "content": "than you for that.
", "votes": 1, "replies": [] }, { "id": 1318746, "author_name": "Saikiran yadla", "author_url": "", "post_date": "2021-05-22T14:37:26.377000", "content": "Yeah I'm new this field can you please gudie me
", "votes": -1, "replies": [] }, { "id": 2247761, "author_name": "hisham", "author_url": "", "post_date": "2023-05-06T09:08:28.607000", "content": "first thank you
\nhow to start , i am a beginner , i will try above guides and links , thanks again
Great job👍🏼
", "votes": 0, "replies": [] }, { "id": 1388132, "author_name": "Kiran Chowdary", "author_url": "", "post_date": "2021-07-14T17:08:11.623000", "content": "I am new to this competitions in kaggle
\ni have knowledge in basic neural networks and CNN. When I read some of the open notebooks from leaderboard I hardly understand anything.
\nI see lots of different modules being used which i am unaware of.
\nCan someone suggests me what topics I should be learning in order to Understand these types of codes.
I did understand the expected submission format
\nbut was confused with the train_image_level.csv label column format
\nopacity 1 789.28836 582.43035 1815.94498 2499.73327
\nshouldn't the first string be one of the 4 'Negative for Pneumonia' 'Typical Appearance' 'Indeterminate Appearance' 'Atypical Appearance
hi sir/mam
\nplease tell me from where we can download dataset.
I checked discussions and notebooks, however I didn't succeed to figure out how should I make a valid notebook submission that contains model pre-trained on my computer. In other words, suppose I have model.h5 file that contains my model and weights and my notebook is supposed to load tensorflow mode from this file and run inference.
\nI'll very appreciate if you could provide some instructions or links to relevant examples. Thank you.
in the upper right corner there is a button with a plus. you need to click on it and load your model.
", "votes": 1, "replies": [] }, { "id": 1377459, "author_name": "Yuri Kreinin", "author_url": "", "post_date": "2021-07-05T21:13:39.293000", "content": "Thank you.
\nJust to clarify:
Thanks again for your valuable help.
", "votes": 0, "replies": [] } ] }, { "id": 1351944, "author_name": "Srikanth Machiraju", "author_url": "", "post_date": "2021-06-16T18:12:36.480000", "content": "Is it Ok to use our local machines to train the model, in that case, I would be uploading my models and a notebook that generates an output using the model against the test data provided and the result is submitted - is this understanding correct?
", "votes": 0, "replies": [] }, { "id": 1341235, "author_name": "GKJohn", "author_url": "", "post_date": "2021-06-08T14:26:19.333000", "content": "Hello, I am relatively new on this site. though I do understand machine learning and have used it at work. but I am not sure how to deal with this data. I downloaded it and there are many files, and then I click open the train, and it has many files, and I open until I get to a DCM file (looks like an internet icon?) and I do not know what to do with that. can you advise? Thanks very much John
", "votes": 0, "replies": [ { "id": 1347960, "author_name": "Guangyu Dan", "author_url": "", "post_date": "2021-06-13T15:35:57.203000", "content": "DICOM is the file format to store medical images, similar to JPEG format. You can use \"pydicom\" in python to read it, you can also use other software such as radiant to visualize it.
", "votes": 1, "replies": [] } ] }, { "id": 1328568, "author_name": "Lang Dong", "author_url": "", "post_date": "2021-05-30T11:10:49.590000", "content": "Hello, may I cite and use this dataset in my graduation project?
", "votes": 0, "replies": [] }, { "id": 1327815, "author_name": "Kostiantyn Perun", "author_url": "", "post_date": "2021-05-29T16:33:44.040000", "content": "How to train on data where each image is in a separate folder within another folder, like in this dataset?
", "votes": 0, "replies": [] }, { "id": 1324321, "author_name": "William Green", "author_url": "", "post_date": "2021-05-26T19:52:41.797000", "content": "Is TPU submission allowed?
", "votes": 0, "replies": [ { "id": 1324364, "author_name": "Julia Elliott", "author_url": "", "post_date": "2021-05-26T20:51:22.597000", "content": "@dskswu No, you may not make a code submission to this competition with TPUs enabled.
", "votes": 0, "replies": [] } ] }, { "id": 2429653, "author_name": "", "author_url": "", "post_date": "2023-09-08T17:55:03.427000", "content": "", "votes": 0, "replies": [] }, { "id": 1388053, "author_name": "", "author_url": "", "post_date": "2021-07-14T16:05:10.853000", "content": "", "votes": 0, "replies": [] }, { "id": 1333289, "author_name": "", "author_url": "", "post_date": "2021-06-02T15:53:58.740000", "content": "", "votes": 0, "replies": [] }, { "id": 1319035, "author_name": "", "author_url": "", "post_date": "2021-05-22T20:03:30.843000", "content": "", "votes": 0, "replies": [] }, { "id": 1313643, "author_name": "", "author_url": "", "post_date": "2021-05-18T16:34:01.620000", "content": "", "votes": 0, "replies": [] }, { "id": 1381375, "author_name": "AMINO Tyrosine", "author_url": "", "post_date": "2021-07-08T23:20:14.847000", "content": "thank you
", "votes": 1, "replies": [] }, { "id": 1355333, "author_name": "BabaYaga", "author_url": "", "post_date": "2021-06-18T08:27:30.553000", "content": "thank you
", "votes": 1, "replies": [] }, { "id": 1346584, "author_name": "Voler", "author_url": "", "post_date": "2021-06-12T13:47:12.407000", "content": "thank you 👍
", "votes": 1, "replies": [] }, { "id": 3028520, "author_name": "Ashif Ali", "author_url": "", "post_date": "2024-10-26T07:36:07.497000", "content": "Thank you :)
", "votes": 0, "replies": [] }, { "id": 2915499, "author_name": "Rui11122", "author_url": "", "post_date": "2024-07-10T14:40:25.900000", "content": "Thanks. Wish you succuess
", "votes": 0, "replies": [] }, { "id": 1381376, "author_name": "Enomoto Masahiro", "author_url": "", "post_date": "2021-07-08T23:24:12.813000", "content": "thank you!
", "votes": 0, "replies": [] }, { "id": 1379456, "author_name": "bsuhaib", "author_url": "", "post_date": "2021-07-07T11:43:42.527000", "content": "Thanks for encouraging!
", "votes": 0, "replies": [] }, { "id": 1358871, "author_name": "utkarshfarkya", "author_url": "", "post_date": "2021-06-20T20:52:07.187000", "content": "Thank You! This is really encouraging.
", "votes": 0, "replies": [] }, { "id": 1358210, "author_name": "alckasoc", "author_url": "", "post_date": "2021-06-20T09:08:06.187000", "content": "Thank you!
", "votes": 0, "replies": [] }, { "id": 1356404, "author_name": "ujos89", "author_url": "", "post_date": "2021-06-19T02:14:16.097000", "content": "thank you!
", "votes": 0, "replies": [] }, { "id": 1320791, "author_name": "Mitrofanov Evgeny", "author_url": "", "post_date": "2021-05-24T10:20:10.037000", "content": "Thank You!
", "votes": 0, "replies": [] }, { "id": 1317704, "author_name": "", "author_url": "", "post_date": "2021-05-21T16:05:27.353000", "content": "", "votes": 0, "replies": [] }, { "id": 1317512, "author_name": "", "author_url": "", "post_date": "2021-05-21T12:59:52.187000", "content": "", "votes": 0, "replies": [] }, { "id": 1315249, "author_name": "", "author_url": "", "post_date": "2021-05-19T16:56:53.247000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1312350": "New to machine learning and data science? No question is too basic or too simple. Feel free to start your own thread, or use this thread as a place to post any first-timer clarifying questions for the Kaggle community to help you with! \n\nIf you would consider yourself a beginner but don't know where to get started, let other Kagglers help you take your first steps here!\n\nNew to Kaggle? Take a look at a few videos to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s), and [how to enter a competition using Kaggle Notebooks](https://www.youtube.com/watch?&v=GJBOMWpLpTQ).\n\nReady to dive into this competition? Review the [Overview Description](https://www.kaggle.com/c/siim-covid19-detection/overview) and start to work with the [Data](https://www.kaggle.com/c/siim-covid19-detection/data)!\n\n> **Remember**: Kaggle is for everyone. Whether you're teaming up or sharing tips in the competition forum, we expect everyone to follow our [Kaggle community guidelines](https://www.kaggle.com/community-guidelines).", "1337252": "than you for that.", "1318746": "Yeah I'm new this field can you please gudie me ", "2247761": "first thank you\nhow to start , i am a beginner , i will try above guides and links , thanks again ", "1441499": "Great job👍🏼", "1388132": "I am new to this competitions in kaggle\ni have knowledge in basic neural networks and CNN. When I read some of the open notebooks from leaderboard I hardly understand anything.\nI see lots of different modules being used which i am unaware of.\nCan someone suggests me what topics I should be learning in order to Understand these types of codes.\n", "1388094": "I did understand the expected submission format \nbut was confused with the train_image_level.csv label column format\n`opacity 1 789.28836 582.43035 1815.94498 2499.73327 `\nshouldn't the first string be one of the 4 `'Negative for Pneumonia' 'Typical Appearance' 'Indeterminate Appearance' 'Atypical Appearance`", "1376980": "hi sir/mam\nplease tell me from where we can download dataset.", "1370421": "I checked discussions and notebooks, however I didn't succeed to figure out how should I make a valid notebook submission that contains model pre-trained on my computer. In other words, suppose I have model.h5 file that contains my model and weights and my notebook is supposed to load tensorflow mode from this file and run inference.\nI'll very appreciate if you could provide some instructions or links to relevant examples. Thank you.", "1351944": "Is it Ok to use our local machines to train the model, in that case, I would be uploading my models and a notebook that generates an output using the model against the test data provided and the result is submitted - is this understanding correct?", "1341235": "Hello, I am relatively new on this site. though I do understand machine learning and have used it at work. but I am not sure how to deal with this data. I downloaded it and there are many files, and then I click open the train, and it has many files, and I open until I get to a DCM file (looks like an internet icon?) and I do not know what to do with that. can you advise? Thanks very much John", "1328568": "Hello, may I cite and use this dataset in my graduation project? ", "1327815": "How to train on data where each image is in a separate folder within another folder, like in this dataset? ", "1324321": "Is TPU submission allowed? ", "2429653": "", "1388053": "", "1333289": "", "1319035": "", "1313643": "", "1381375": "thank you\n", "1355333": "thank you ", "1346584": "thank you 👍", "3028520": "Thank you :)", "2915499": "Thanks. Wish you succuess", "1381376": "thank you!", "1379456": "Thanks for encouraging!", "1358871": "Thank You! This is really encouraging.", "1358210": "Thank you!", "1356404": "thank you!", "1320791": "Thank You!", "1317704": "Thank You! This is really helpful", "1317512": "Thanks ma'am for the resource.", "1315249": "Thanks for the resources." } }