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 Dr. Rachael Tatman has put together to learn a bit more about site etiquette, or Kaggle lingo.
\nRemember: 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.
\nHappy Modeling!
", "messages": [ { "id": "1259663", "postDate": "04/01/2021 15:11:38", "content": "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 Dr. Rachael Tatman has put together to learn a bit more about site etiquette, or Kaggle lingo.
\nRemember: 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.
\nHappy Modeling!
", "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 Dr. Rachael Tatman has put together to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), or [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s).\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).\n\nHappy Modeling!", "votes": null }, { "id": "1260045", "postDate": "04/01/2021 19:47:27", "content": "Hi @addisonhoward,
\nI am new to Kaggle and enrolled in this competition as my first ever attempt.
\nWish me good luck.
\nThank You
Good luck!
", "rawMarkdown": "Good luck!", "votes": null }, { "id": "1260197", "postDate": "04/01/2021 23:28:14", "content": "Greetings!
\nGood luck to all, this is my first go at sound recognition. I'll need that fortune as well!
\nJupiter notebook and tensorflow cant possibly be all that is needed? What else can assist in making this be?
Hello everyone, I just joined Kaggle today and would like to use it to improve my skills in machine learning, which I am learning by myself. I joined this competition because I am a passionate birdwatcher (who knows if I'll be able to actually finish, but it's nice to learn with a project that one is motivated about). Eventually I hope to learn to navigate Kaggle and find other exercises as well that are easier to cut my teeth on. : )
", "rawMarkdown": "Hello everyone, I just joined Kaggle today and would like to use it to improve my skills in machine learning, which I am learning by myself. I joined this competition because I am a passionate birdwatcher (who knows if I'll be able to actually finish, but it's nice to learn with a project that one is motivated about). Eventually I hope to learn to navigate Kaggle and find other exercises as well that are easier to cut my teeth on. : )", "votes": null }, { "id": "1260334", "postDate": "04/02/2021 03:10:18", "content": "Hi @addisonhoward ,
\nI joined kaggle today to improve my data science and ML skills . Could you please guide me a bit , like how to start with this dataset and what will be the approach to this.
\nThank you.
@divyanshsingh09 Hi Divyansh! Welcome to Kaggle. I started with the Kaggle Micro Courses. I think they are great to start working on the datasets and equips you with enough knowledge to read and understand others' code that is a very important skill to possess.
\nHope this helps!
@vedanthbaliga Thanks !!
", "rawMarkdown": "vedanthbaliga Thanks !!", "votes": null }, { "id": "1260844", "postDate": "04/02/2021 12:58:21", "content": "Thanks , i found the links given very helpful
", "rawMarkdown": "Thanks , i found the links given very helpful", "votes": null }, { "id": "1260884", "postDate": "04/02/2021 13:46:59", "content": "You are welcome @divyanshsingh09 . Glad it helped
", "rawMarkdown": "You are welcome @divyanshsingh09 . Glad it helped", "votes": null }, { "id": "1261795", "postDate": "04/03/2021 13:06:09", "content": "Only a sporadic visitor but whittling away some time over the bank holiday weekend. W.r.t the \"code competition\" rules. It is acceptable/possible to add external (publicly available) pip packages to the notebook?
", "rawMarkdown": "Only a sporadic visitor but whittling away some time over the bank holiday weekend. W.r.t the \"code competition\" rules. It is acceptable/possible to add external (publicly available) pip packages to the notebook?", "votes": null }, { "id": "1262473", "postDate": "04/04/2021 10:51:17", "content": "With respect to BirdClef2021 competition, do we have to write our own code or can we use e.g., open source packages like pandas, sklearn, etc.? I'm very new to Kaggle competitions.
", "rawMarkdown": "With respect to BirdClef2021 competition, do we have to write our own code or can we use e.g., open source packages like pandas, sklearn, etc.? I'm very new to Kaggle competitions.", "votes": null }, { "id": "1262483", "postDate": "04/04/2021 11:11:14", "content": "I have the same question myself. If I find an answer I'll share it here. Cheers.
", "rawMarkdown": "I have the same question myself. If I find an answer I'll share it here. Cheers.", "votes": null }, { "id": "1262979", "postDate": "04/05/2021 00:49:43", "content": "I've been a birder for decades (with an eBird history going back to 2005), and I've been dabbling in recording bird sounds for the past few years (using just a smart phone). Meanwhile, I'm newly active on Kaggle. My goal was to gradually work my way though the beginner challenges, but this has grabbed my attention. Perhaps I'm getting in way over my head, but at least I'm learning in the process.
\nHowever, I anticipate a real time-management tension between working on this project and being outside for spring songbird migration, which peaks here in the central US during late April and early May, right during the heart of this competition. At this time of year, my bedside table hosts routinely consulted copies of The Warbler Guide and Pieplow's Peterson Field Guide to Bird Sounds of Eastern North America, both great resources for the ear birder. Perhaps they'll serve double duty this year as I both prepare for migration and ponder this competition.
", "rawMarkdown": "I've been a birder for decades (with an eBird history going back to 2005), and I've been dabbling in recording bird sounds for the past few years (using just a smart phone). Meanwhile, I'm newly active on Kaggle. My goal was to gradually work my way though the beginner challenges, but this has grabbed my attention. Perhaps I'm getting in way over my head, but at least I'm learning in the process.\n\nHowever, I anticipate a real time-management tension between working on this project and being outside for spring songbird migration, which peaks here in the central US during late April and early May, right during the heart of this competition. At this time of year, my bedside table hosts routinely consulted copies of [The Warbler Guide](http://www.thewarblerguide.com) and Pieplow's [Peterson Field Guide to Bird Sounds of Eastern North America](https://earbirding.com/blog/book), both great resources for the ear birder. Perhaps they'll serve double duty this year as I both prepare for migration and ponder this competition.", "votes": null }, { "id": "1263009", "postDate": "04/05/2021 02:41:54", "content": "Hi everyone goodluck on the competition!
", "rawMarkdown": "Hi everyone goodluck on the competition!", "votes": null }, { "id": "1263022", "postDate": "04/05/2021 03:03:35", "content": "@stewrobertson79 @fealgu You can check the notebooks here:
\nhttps://www.kaggle.com/c/birdclef-2021/code most of the notebooks use Python Libraries so it should be fine.
\nHere is an extract from the rules section(https://www.kaggle.com/c/birdclef-2021/rules):
Hi,
\nThank you for the links they are very useful!
All the best! All great achievement starts with initial baby steps.
", "rawMarkdown": "All the best! All great achievement starts with initial baby steps.", "votes": null }, { "id": "1268618", "postDate": "04/09/2021 15:34:18", "content": "Check out this great starter provided by @stefankahl
\nhttps://www.kaggle.com/c/birdclef-2021/discussion/230000
", "rawMarkdown": "Check out this great starter provided by @stefankahl \n\n[https://www.kaggle.com/c/birdclef-2021/discussion/230000](https://www.kaggle.com/c/birdclef-2021/discussion/230000)", "votes": null }, { "id": "1268619", "postDate": "04/09/2021 15:36:06", "content": "All the best Francesca. Even I'm a newbie to Kaggle competitions and hopefully there is substancial learning by the end of this competition.
", "rawMarkdown": "All the best Francesca. Even I'm a newbie to Kaggle competitions and hopefully there is substancial learning by the end of this competition.", "votes": null }, { "id": "1287798", "postDate": "04/29/2021 12:10:11", "content": "Hi,
\nThis is my first machine learning Kaggle competition and I am pretty excited, but I am a bit confused as to the submission process. Am I required to write up a script that will train the model and predict on the hidden data, or maybe put the network in a function that returns the model's weights, or something about a spreadsheet with my model's predictions? Any help would be appreciated, thanks!!
Hi, I am just getting my feet wet with audio processing and my end goal is to create datasets of local bird vocalizations similar to the British Bird Song Dataset - except they will be regional variations of British Columbia Bird Song Dataset. Really looking forward to the learning journey in this competition!
", "rawMarkdown": "Hi, I am just getting my feet wet with audio processing and my end goal is to create datasets of local bird vocalizations similar to the British Bird Song Dataset - except they will be regional variations of British Columbia Bird Song Dataset. Really looking forward to the learning journey in this competition!", "votes": null }, { "id": "1292347", "postDate": "05/03/2021 21:04:38", "content": "Hello everybody! This is my first competition and am a bit confused with the mechanism for submitting the response. I know it should be done by sending a notebook, but in kaggle we only have 9 hours of execution … So, should we run from end to end even though the entire process takes more than 9 hours ?, or is it possible to load our model (trained in the local machine) and run the code only over the hidden test set?
\nI wish you all luck!
", "rawMarkdown": "Hello everybody! This is my first competition and am a bit confused with the mechanism for submitting the response. I know it should be done by sending a notebook, but in kaggle we only have 9 hours of execution ... So, should we run from end to end even though the entire process takes more than 9 hours ?, or is it possible to load our model (trained in the local machine) and run the code only over the hidden test set?\n\n\nI wish you all luck!", "votes": null }, { "id": "1297760", "postDate": "05/08/2021 09:36:57", "content": "HI，This is an interesting competition. I hope to learn how to process sound data for classification through this competition. I have never been exposed to these things before.Thanks to the masters for sharing practical knowledge.@kkiller @Hidehisa Arai
", "rawMarkdown": "HI，This is an interesting competition. I hope to learn how to process sound data for classification through this competition. I have never been exposed to these things before.Thanks to the masters for sharing practical knowledge.@kkiller @Hidehisa Arai", "votes": null }, { "id": "1306532", "postDate": "05/13/2021 21:07:38", "content": "This is going to be an interesting problem to solve
", "rawMarkdown": "This is going to be an interesting problem to solve", "votes": null }, { "id": "1309306", "postDate": "05/15/2021 20:06:10", "content": "First time playing with audio files in python, and I'm pretty new to ML in general! I'm a little confused about the \"time\" column of the metadata. Is that the duration of the audio file? The numbers I am getting from librosa.core.get_duration are not lining up at all! Any guidance here would be appreciated!
", "rawMarkdown": "First time playing with audio files in python, and I'm pretty new to ML in general! I'm a little confused about the \"time\" column of the metadata. Is that the duration of the audio file? The numbers I am getting from librosa.core.get_duration are not lining up at all! Any guidance here would be appreciated!", "votes": null }, { "id": "1309387", "postDate": "05/15/2021 22:28:03", "content": "The \"time\" column in train_metadata.csv represents the time of day. I was confused about this at first, as well. However, as you've noted, it doesn't match the audio duration. Also, plotting it out (as I did in this EDA) removes any doubt about it being time of day.
", "rawMarkdown": "The \"time\" column in train_metadata.csv represents the time of day. I was confused about this at first, as well. However, as you've noted, it doesn't match the audio duration. Also, plotting it out (as I did in this [EDA](https://www.kaggle.com/jmreuter/a-birder-s-eye-view-of-the-metadata-with-taxonomy)) removes any doubt about it being time of day.", "votes": null }, { "id": "1309424", "postDate": "05/16/2021 00:00:03", "content": "That's really cool how you visualized it by taxonomical groupings! Thank you!!!
", "rawMarkdown": "That's really cool how you visualized it by taxonomical groupings! Thank you!!!", "votes": null }, { "id": "1309959", "postDate": "05/16/2021 12:11:08", "content": "Glad you found it helpful. Good luck!
", "rawMarkdown": "Glad you found it helpful. Good luck!", "votes": null }, { "id": "1313367", "postDate": "05/18/2021 14:24:28", "content": "hello ,everybody!
", "rawMarkdown": "hello ,everybody!", "votes": null } ], "comments": [ { "id": 1260045, "author_name": "ovaizali", "author_url": "", "post_date": "04/01/2021 19:47:27", "content": "Hi @addisonhoward,
\nI am new to Kaggle and enrolled in this competition as my first ever attempt.
\nWish me good luck.
\nThank You
Good luck!
", "votes": null, "replies": [] }, { "id": 1268615, "author_name": "saravanatk1984", "author_url": "", "post_date": "04/09/2021 15:29:18", "content": "All the best! All great achievement starts with initial baby steps.
", "votes": null, "replies": [] } ] }, { "id": 1260197, "author_name": "alexanderkoydl", "author_url": "", "post_date": "04/01/2021 23:28:14", "content": "Greetings!
\nGood luck to all, this is my first go at sound recognition. I'll need that fortune as well!
\nJupiter notebook and tensorflow cant possibly be all that is needed? What else can assist in making this be?
Check out this great starter provided by @stefankahl
\nhttps://www.kaggle.com/c/birdclef-2021/discussion/230000
", "votes": null, "replies": [] } ] }, { "id": 1260282, "author_name": "francescariccitam", "author_url": "", "post_date": "04/02/2021 01:57:26", "content": "Hello everyone, I just joined Kaggle today and would like to use it to improve my skills in machine learning, which I am learning by myself. I joined this competition because I am a passionate birdwatcher (who knows if I'll be able to actually finish, but it's nice to learn with a project that one is motivated about). Eventually I hope to learn to navigate Kaggle and find other exercises as well that are easier to cut my teeth on. : )
", "votes": null, "replies": [ { "id": 1268619, "author_name": "saravanatk1984", "author_url": "", "post_date": "04/09/2021 15:36:06", "content": "All the best Francesca. Even I'm a newbie to Kaggle competitions and hopefully there is substancial learning by the end of this competition.
", "votes": null, "replies": [] } ] }, { "id": 1260334, "author_name": "divyanshsingh09", "author_url": "", "post_date": "04/02/2021 03:10:18", "content": "Hi @addisonhoward ,
\nI joined kaggle today to improve my data science and ML skills . Could you please guide me a bit , like how to start with this dataset and what will be the approach to this.
\nThank you.
@divyanshsingh09 Hi Divyansh! Welcome to Kaggle. I started with the Kaggle Micro Courses. I think they are great to start working on the datasets and equips you with enough knowledge to read and understand others' code that is a very important skill to possess.
\nHope this helps!
@vedanthbaliga Thanks !!
", "votes": null, "replies": [ { "id": 1260884, "author_name": "vedanthbaliga", "author_url": "", "post_date": "04/02/2021 13:46:59", "content": "You are welcome @divyanshsingh09 . Glad it helped
", "votes": null, "replies": [] } ] }, { "id": 1260844, "author_name": "saumyadabas", "author_url": "", "post_date": "04/02/2021 12:58:21", "content": "Thanks , i found the links given very helpful
", "votes": null, "replies": [] }, { "id": 1261795, "author_name": "stewrobertson79", "author_url": "", "post_date": "04/03/2021 13:06:09", "content": "Only a sporadic visitor but whittling away some time over the bank holiday weekend. W.r.t the \"code competition\" rules. It is acceptable/possible to add external (publicly available) pip packages to the notebook?
", "votes": null, "replies": [ { "id": 1262483, "author_name": "fealgu", "author_url": "", "post_date": "04/04/2021 11:11:14", "content": "I have the same question myself. If I find an answer I'll share it here. Cheers.
", "votes": null, "replies": [] }, { "id": 1263022, "author_name": "vedanthbaliga", "author_url": "", "post_date": "04/05/2021 03:03:35", "content": "@stewrobertson79 @fealgu You can check the notebooks here:
\nhttps://www.kaggle.com/c/birdclef-2021/code most of the notebooks use Python Libraries so it should be fine.
\nHere is an extract from the rules section(https://www.kaggle.com/c/birdclef-2021/rules):
With respect to BirdClef2021 competition, do we have to write our own code or can we use e.g., open source packages like pandas, sklearn, etc.? I'm very new to Kaggle competitions.
", "votes": null, "replies": [] }, { "id": 1262979, "author_name": "jmreuter", "author_url": "", "post_date": "04/05/2021 00:49:43", "content": "I've been a birder for decades (with an eBird history going back to 2005), and I've been dabbling in recording bird sounds for the past few years (using just a smart phone). Meanwhile, I'm newly active on Kaggle. My goal was to gradually work my way though the beginner challenges, but this has grabbed my attention. Perhaps I'm getting in way over my head, but at least I'm learning in the process.
\nHowever, I anticipate a real time-management tension between working on this project and being outside for spring songbird migration, which peaks here in the central US during late April and early May, right during the heart of this competition. At this time of year, my bedside table hosts routinely consulted copies of The Warbler Guide and Pieplow's Peterson Field Guide to Bird Sounds of Eastern North America, both great resources for the ear birder. Perhaps they'll serve double duty this year as I both prepare for migration and ponder this competition.
", "votes": null, "replies": [] }, { "id": 1263009, "author_name": "jamesnixon", "author_url": "", "post_date": "04/05/2021 02:41:54", "content": "Hi everyone goodluck on the competition!
", "votes": null, "replies": [] }, { "id": 1268434, "author_name": "abdessamadlayad", "author_url": "", "post_date": "04/09/2021 11:45:34", "content": "Hi,
\nThank you for the links they are very useful!
Hi,
\nThis is my first machine learning Kaggle competition and I am pretty excited, but I am a bit confused as to the submission process. Am I required to write up a script that will train the model and predict on the hidden data, or maybe put the network in a function that returns the model's weights, or something about a spreadsheet with my model's predictions? Any help would be appreciated, thanks!!
Hi, I am just getting my feet wet with audio processing and my end goal is to create datasets of local bird vocalizations similar to the British Bird Song Dataset - except they will be regional variations of British Columbia Bird Song Dataset. Really looking forward to the learning journey in this competition!
", "votes": null, "replies": [] }, { "id": 1292347, "author_name": "ya1000", "author_url": "", "post_date": "05/03/2021 21:04:38", "content": "Hello everybody! This is my first competition and am a bit confused with the mechanism for submitting the response. I know it should be done by sending a notebook, but in kaggle we only have 9 hours of execution … So, should we run from end to end even though the entire process takes more than 9 hours ?, or is it possible to load our model (trained in the local machine) and run the code only over the hidden test set?
\nI wish you all luck!
", "votes": null, "replies": [] }, { "id": 1297760, "author_name": "majunfu", "author_url": "", "post_date": "05/08/2021 09:36:57", "content": "HI，This is an interesting competition. I hope to learn how to process sound data for classification through this competition. I have never been exposed to these things before.Thanks to the masters for sharing practical knowledge.@kkiller @Hidehisa Arai
", "votes": null, "replies": [] }, { "id": 1306532, "author_name": "debankurs", "author_url": "", "post_date": "05/13/2021 21:07:38", "content": "This is going to be an interesting problem to solve
", "votes": null, "replies": [] }, { "id": 1309306, "author_name": "aaronmead", "author_url": "", "post_date": "05/15/2021 20:06:10", "content": "First time playing with audio files in python, and I'm pretty new to ML in general! I'm a little confused about the \"time\" column of the metadata. Is that the duration of the audio file? The numbers I am getting from librosa.core.get_duration are not lining up at all! Any guidance here would be appreciated!
", "votes": null, "replies": [ { "id": 1309387, "author_name": "jmreuter", "author_url": "", "post_date": "05/15/2021 22:28:03", "content": "The \"time\" column in train_metadata.csv represents the time of day. I was confused about this at first, as well. However, as you've noted, it doesn't match the audio duration. Also, plotting it out (as I did in this EDA) removes any doubt about it being time of day.
", "votes": null, "replies": [] }, { "id": 1309424, "author_name": "aaronmead", "author_url": "", "post_date": "05/16/2021 00:00:03", "content": "That's really cool how you visualized it by taxonomical groupings! Thank you!!!
", "votes": null, "replies": [] }, { "id": 1309959, "author_name": "jmreuter", "author_url": "", "post_date": "05/16/2021 12:11:08", "content": "Glad you found it helpful. Good luck!
", "votes": null, "replies": [] } ] }, { "id": 1313367, "author_name": "majunjun", "author_url": "", "post_date": "05/18/2021 14:24:28", "content": "hello ,everybody!
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1259663": "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 Dr. Rachael Tatman has put together to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), or [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s).\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).\n\nHappy Modeling!", "1260045": "Hi @addisonhoward,\nI am new to Kaggle and enrolled in this competition as my first ever attempt.\nWish me good luck.\nThank You", "1260052": "Good luck!", "1260197": "Greetings!\nGood luck to all, this is my first go at sound recognition. I'll need that fortune as well!\nJupiter notebook and tensorflow cant possibly be all that is needed? What else can assist in making this be?", "1260282": "Hello everyone, I just joined Kaggle today and would like to use it to improve my skills in machine learning, which I am learning by myself. I joined this competition because I am a passionate birdwatcher (who knows if I'll be able to actually finish, but it's nice to learn with a project that one is motivated about). Eventually I hope to learn to navigate Kaggle and find other exercises as well that are easier to cut my teeth on. : )", "1260334": "Hi @addisonhoward ,\nI joined kaggle today to improve my data science and ML skills . Could you please guide me a bit , like how to start with this dataset and what will be the approach to this.\nThank you.", "1260351": "divyanshsingh09 Hi Divyansh! Welcome to Kaggle. I started with the Kaggle Micro Courses. I think they are great to start working on the datasets and equips you with enough knowledge to read and understand others' code that is a very important skill to possess. \nHope this helps!", "1260395": "vedanthbaliga Thanks !!", "1260844": "Thanks , i found the links given very helpful", "1260884": "You are welcome @divyanshsingh09 . Glad it helped", "1261795": "Only a sporadic visitor but whittling away some time over the bank holiday weekend. W.r.t the \"code competition\" rules. It is acceptable/possible to add external (publicly available) pip packages to the notebook?", "1262473": "With respect to BirdClef2021 competition, do we have to write our own code or can we use e.g., open source packages like pandas, sklearn, etc.? I'm very new to Kaggle competitions.", "1262483": "I have the same question myself. If I find an answer I'll share it here. Cheers.", "1262979": "I've been a birder for decades (with an eBird history going back to 2005), and I've been dabbling in recording bird sounds for the past few years (using just a smart phone). Meanwhile, I'm newly active on Kaggle. My goal was to gradually work my way though the beginner challenges, but this has grabbed my attention. Perhaps I'm getting in way over my head, but at least I'm learning in the process.\n\nHowever, I anticipate a real time-management tension between working on this project and being outside for spring songbird migration, which peaks here in the central US during late April and early May, right during the heart of this competition. At this time of year, my bedside table hosts routinely consulted copies of [The Warbler Guide](http://www.thewarblerguide.com) and Pieplow's [Peterson Field Guide to Bird Sounds of Eastern North America](https://earbirding.com/blog/book), both great resources for the ear birder. Perhaps they'll serve double duty this year as I both prepare for migration and ponder this competition.", "1263009": "Hi everyone goodluck on the competition!", "1263022": "stewrobertson79 @fealgu You can check the notebooks here: \nhttps://www.kaggle.com/c/birdclef-2021/code most of the notebooks use Python Libraries so it should be fine.\nHere is an extract from the rules section(https://www.kaggle.com/c/birdclef-2021/rules):\n2. AUTOMATED MACHINE LEARNING TOOLS (AMLT).\nIndividual participants and Teams may use automated machine learning tool(s) (“AMLT”) (e.g., Google AutoML, H2O Driverless AI, etc.) to create a Submission, provided that the participant or Team ensures that they have an appropriate license to the AMLT such that they are able to comply with the Competition Rules.", "1268434": "Hi, \nThank you for the links they are very useful! \n#HappyModelling", "1268615": "All the best! All great achievement starts with initial baby steps.", "1268618": "Check out this great starter provided by @stefankahl \n\n[https://www.kaggle.com/c/birdclef-2021/discussion/230000](https://www.kaggle.com/c/birdclef-2021/discussion/230000)", "1268619": "All the best Francesca. Even I'm a newbie to Kaggle competitions and hopefully there is substancial learning by the end of this competition.", "1287798": "Hi,\nThis is my first machine learning Kaggle competition and I am pretty excited, but I am a bit confused as to the submission process. Am I required to write up a script that will train the model and predict on the hidden data, or maybe put the network in a function that returns the model's weights, or something about a spreadsheet with my model's predictions? Any help would be appreciated, thanks!!", "1292244": "Hi, I am just getting my feet wet with audio processing and my end goal is to create datasets of local bird vocalizations similar to the British Bird Song Dataset - except they will be regional variations of British Columbia Bird Song Dataset. Really looking forward to the learning journey in this competition!", "1292347": "Hello everybody! This is my first competition and am a bit confused with the mechanism for submitting the response. I know it should be done by sending a notebook, but in kaggle we only have 9 hours of execution ... So, should we run from end to end even though the entire process takes more than 9 hours ?, or is it possible to load our model (trained in the local machine) and run the code only over the hidden test set?\n\n\nI wish you all luck!", "1297760": "HI，This is an interesting competition. I hope to learn how to process sound data for classification through this competition. I have never been exposed to these things before.Thanks to the masters for sharing practical knowledge.@kkiller @Hidehisa Arai", "1306532": "This is going to be an interesting problem to solve", "1309306": "First time playing with audio files in python, and I'm pretty new to ML in general! I'm a little confused about the \"time\" column of the metadata. Is that the duration of the audio file? The numbers I am getting from librosa.core.get_duration are not lining up at all! Any guidance here would be appreciated!", "1309387": "The \"time\" column in train_metadata.csv represents the time of day. I was confused about this at first, as well. However, as you've noted, it doesn't match the audio duration. Also, plotting it out (as I did in this [EDA](https://www.kaggle.com/jmreuter/a-birder-s-eye-view-of-the-metadata-with-taxonomy)) removes any doubt about it being time of day.", "1309424": "That's really cool how you visualized it by taxonomical groupings! Thank you!!!", "1309959": "Glad you found it helpful. Good luck!", "1313367": "hello ,everybody!" }, "source": "meta" }