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": "1082409", "postDate": "11/17/2020 21:48:35", "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/rfcx-species-audio-detection/overview) and start to work with the [Data](https://www.kaggle.com/c/rfcx-species-audio-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": null }, { "id": "1083085", "postDate": "11/18/2020 15:22:56", "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
Hi @juliaelliott
\nI think there is a typo under the 'Data Description' section.
\n", "rawMarkdown": "Hi @juliaelliott \nI think there is a typo under the 'Data Description' section.\n> You[r] task is, for each test audio file ...", "votes": null }, { "id": "1083115", "postDate": "11/18/2020 16:01:18", "content": "You[r] task is, for each test audio file …
\n
@spoon69 Thank you - fixed!
", "rawMarkdown": "spoon69 Thank you - fixed!", "votes": null }, { "id": "1092350", "postDate": "11/26/2020 18:13:56", "content": "I want to train the entire resnet model. Do I have to keep the kernel open the entire time and for downloading the saved weights do I have to save and commit the notebook?
\nSry for the noob question
", "rawMarkdown": "I want to train the entire resnet model. Do I have to keep the kernel open the entire time and for downloading the saved weights do I have to save and commit the notebook?\n\nSry for the noob question", "votes": null } ], "comments": [ { "id": 1083085, "author_name": "spoon69", "author_url": "", "post_date": "11/18/2020 15:22:56", "content": "Hi @juliaelliott
\nI think there is a typo under the 'Data Description' section.
\n", "votes": null, "replies": [ { "id": 1083115, "author_name": "juliaelliott", "author_url": "", "post_date": "11/18/2020 16:01:18", "content": "You[r] task is, for each test audio file …
\n
@spoon69 Thank you - fixed!
", "votes": null, "replies": [] } ] }, { "id": 1092350, "author_name": "harip98", "author_url": "", "post_date": "11/26/2020 18:13:56", "content": "I want to train the entire resnet model. Do I have to keep the kernel open the entire time and for downloading the saved weights do I have to save and commit the notebook?
\nSry for the noob question
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1082409": "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/rfcx-species-audio-detection/overview) and start to work with the [Data](https://www.kaggle.com/c/rfcx-species-audio-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).", "1083085": "Hi @juliaelliott \nI think there is a typo under the 'Data Description' section.\n> You[r] task is, for each test audio file ...", "1083115": "spoon69 Thank you - fixed!", "1092350": "I want to train the entire resnet model. Do I have to keep the kernel open the entire time and for downloading the saved weights do I have to save and commit the notebook?\n\nSry for the noob question" }, "source": "meta" }