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 our very own Dr. Rachael Tatman has put together to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
", "messages": [ { "id": 887430, "postDate": "2020-06-15T17:07:29.123Z", "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!
\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 our very own Dr. Rachael Tatman has put together to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
", "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 our very own Dr. Rachael Tatman has put together 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).", "votes": 15 }, { "id": 983883, "postDate": "2020-08-24T16:56:33.837Z", "content": "Hello!
\nFirst competition that I'm really taking my time for, and this is something really interesting - definitely a great place for a newbie like me to start with, and something that I'm gonna be working solely on the next 3-4 weeks.
\nNice to meet you guys! Hope I can contribute, learn, and develop something very quickly.
Welcome! I was in the same situation a month ago. Great place to learn. I would recommend looking at models, training, and related notebooks used here:
\nhttps://www.kaggle.com/rsinda/ensemble-resnest50-efficient-net
Cool! Thanks!
", "rawMarkdown": "Cool! Thanks! " } ] }, { "id": 952824, "postDate": "2020-07-31T08:48:20.427Z", "content": "Where i will get Natural Language Processing sample projects?
", "rawMarkdown": "Where i will get Natural Language Processing sample projects?", "votes": 1, "replies": [ { "id": 964760, "postDate": "2020-08-10T06:35:53.547Z", "content": "Hii, you can find a lot of Natural Language Processing sample projects in Kaggle competitions. \nhttps://www.kaggle.com/search?q=nlp+in%3Acompetitions\nPlease check this link, \nthese are some of the kaggle competitions which are completed.
\n\nThank you 😊
", "rawMarkdown": "Hii, you can find a lot of Natural Language Processing sample projects in Kaggle competitions. \nhttps://www.kaggle.com/search?q=nlp+in%3Acompetitions\nPlease check this link, \nthese are some of the kaggle competitions which are completed. \n\nThank you 😊 " } ] }, { "id": 918078, "postDate": "2020-07-07T01:00:59.397Z", "content": "HI, This competition is of real interest to me as I use the CLO's eBird platform very often and have been wanting to make a birdsong classifier for a long time. Does anyone know of any good packages in R for doing this kind of classification work? I usually work in Python for these types of projects but I'm much more comfortable with R so... \nAlso, I am new to Kaggle so thanks for the links!
", "rawMarkdown": "HI, This competition is of real interest to me as I use the CLO's eBird platform very often and have been wanting to make a birdsong classifier for a long time. Does anyone know of any good packages in R for doing this kind of classification work? I usually work in Python for these types of projects but I'm much more comfortable with R so... \nAlso, I am new to Kaggle so thanks for the links!", "votes": 1, "replies": [ { "id": 928000, "postDate": "2020-07-13T17:18:20.853Z", "content": "see:\nhttps://poissonisfish.com/2020/04/05/audio-classification-in-r/\nlibrary(seewave)\nlibrary(soundgen)\nlibrary(tuneR)\nlibrary(bioacoustics)\nlibrary(warbleR)
", "rawMarkdown": "see:\nhttps://poissonisfish.com/2020/04/05/audio-classification-in-r/\nlibrary(seewave)\nlibrary(soundgen)\nlibrary(tuneR)\nlibrary(bioacoustics)\nlibrary(warbleR)", "votes": 2 }, { "id": 939126, "postDate": "2020-07-22T03:49:21.213Z", "content": "Thanks!
", "rawMarkdown": "Thanks!" } ] }, { "id": 917025, "postDate": "2020-07-06T07:24:31.627Z", "content": "HI! This is so cool. I have the basics in python language and ml foundation. But still getting into the competition still seems to be really tough. What are the things that a beginner should look for when they are aiming to get to the top half of any Kaggle competition?
", "rawMarkdown": "HI! This is so cool. I have the basics in python language and ml foundation. But still getting into the competition still seems to be really tough. What are the things that a beginner should look for when they are aiming to get to the top half of any Kaggle competition? ", "votes": 1, "replies": [ { "id": 939105, "postDate": "2020-07-22T03:23:38.957Z", "content": "I think it would be good if you could work on the courses that are made available by Kaggle. They give you a better idea for approaching the competitions.
\nhttps://www.kaggle.com/learn/overview
", "rawMarkdown": "I think it would be good if you could work on the courses that are made available by Kaggle. They give you a better idea for approaching the competitions.\n\nhttps://www.kaggle.com/learn/overview" }, { "id": 961933, "postDate": "2020-08-07T16:20:15.813Z", "content": "Do your own EDA, read the discussion posts, read at least one public notebook (and fullly understand it!), try your own ideas
", "rawMarkdown": "Do your own EDA, read the discussion posts, read at least one public notebook (and fullly understand it!), try your own ideas", "votes": 1 } ] }, { "id": 1035316, "postDate": "2020-10-02T16:19:34.137Z", "content": "Hello, thanks for starting this thread. Kaggle is great, haven't been on it much, but soon will be on it more. I will definitely post questions about ML as they arise. : )
", "rawMarkdown": "Hello, thanks for starting this thread. Kaggle is great, haven't been on it much, but soon will be on it more. I will definitely post questions about ML as they arise. : ) " }, { "id": 1035106, "postDate": "2020-10-02T12:57:09.623Z", "content": "Thanks! This data set is very interesting.
", "rawMarkdown": "Thanks! This data set is very interesting." }, { "id": 1006494, "postDate": "2020-09-11T09:41:35.423Z", "content": "Hi, first time submitting to a competition.
", "rawMarkdown": "Hi, first time submitting to a competition." }, { "id": 1004297, "postDate": "2020-09-09T15:45:45.883Z", "content": "Hey, I don't know how stupid this question may sound, but because I've spent so much time in understanding various libraries and training models for this project, I have to ask this.
\nI have worked out the model and everything, but what I don't understand is how to create the submission file. I mean what is the audio file mentioned in test.csv?
\nAny help would be appreciated.
Hi, I'd love to be a part of your community. I'll try again.
", "rawMarkdown": "Hi, I'd love to be a part of your community. I'll try again. " }, { "id": 971795, "postDate": "2020-08-15T22:26:55.210Z", "content": "Hi! This is my first competition though I have prior machine learning experience. I have a few questions regarding Kaggle competition or this competition specifically:
\n1) Do I have to train model during submission or training can be done prior?
\n2) Can we train models on machines outside kaggle, so when we are asked for the entire workflow does it have to be runnable on kaggle?
\n3) Can we use other models resnest, efficientnet, densenet as part of our final submission workflow?
training can be done prior
\nyou can train outside kaggle
\nyou can use other models, but (as far as I understand) any external packages / datasets need to be declared in the external data thread. Make sure to respect licenses and to submit a notebook which runs without internet access
Hi! Does anyone know the different audio processing libraries in python? So far, I saw librosa.
", "rawMarkdown": "Hi! Does anyone know the different audio processing libraries in python? So far, I saw librosa. " }, { "id": 951733, "postDate": "2020-07-30T10:53:26.643Z", "content": "Hii
", "rawMarkdown": "Hii" }, { "id": 951732, "postDate": "2020-07-30T10:52:24.747Z", "content": "Hiii
", "rawMarkdown": "Hiii" }, { "id": 916977, "postDate": "2020-07-06T06:48:38.967Z", "content": "Hi!
", "rawMarkdown": "Hi!" }, { "id": 980727, "postDate": "2020-08-21T19:58:35.563Z", "rawMarkdown": "", "isDeleted": true, "replies": [ { "id": 980955, "postDate": "2020-08-22T03:43:52.737Z", "content": "Try reading through some of the notebooks and how they handle things. Among community torch seems more favourite at least for this competion so it might be easier to start with it. It is my first competition and I started with tensorflow but seeing it would be easier to cross-learn via torch, I switched to that. If you ensist on tensorflow.
\nhttps://www.kaggle.com/luisblanche/tensorflow-audio-reading-resnet-training
\nyou can also take a look at the work I started but I never finished and probably would not but there
are some useful bits in terms of how to handle data if you are using tensorflow etc:
\nhttps://www.kaggle.com/leodav/birdsong-tpu-tensorflow-efficientnet-b4-train
Hello!
\nFirst competition that I'm really taking my time for, and this is something really interesting - definitely a great place for a newbie like me to start with, and something that I'm gonna be working solely on the next 3-4 weeks.
\nNice to meet you guys! Hope I can contribute, learn, and develop something very quickly.
Welcome! I was in the same situation a month ago. Great place to learn. I would recommend looking at models, training, and related notebooks used here:
\nhttps://www.kaggle.com/rsinda/ensemble-resnest50-efficient-net
Cool! Thanks!
", "votes": 0, "replies": [] } ] }, { "id": 952824, "author_name": "Waseem Kurne", "author_url": "", "post_date": "2020-07-31T08:48:20.427000", "content": "Where i will get Natural Language Processing sample projects?
", "votes": 1, "replies": [ { "id": 964760, "author_name": "palak sood", "author_url": "", "post_date": "2020-08-10T06:35:53.547000", "content": "Hii, you can find a lot of Natural Language Processing sample projects in Kaggle competitions. \nhttps://www.kaggle.com/search?q=nlp+in%3Acompetitions\nPlease check this link, \nthese are some of the kaggle competitions which are completed.
\n\nThank you 😊
", "votes": 0, "replies": [] } ] }, { "id": 918078, "author_name": "Oliver Burrus", "author_url": "", "post_date": "2020-07-07T01:00:59.397000", "content": "HI, This competition is of real interest to me as I use the CLO's eBird platform very often and have been wanting to make a birdsong classifier for a long time. Does anyone know of any good packages in R for doing this kind of classification work? I usually work in Python for these types of projects but I'm much more comfortable with R so... \nAlso, I am new to Kaggle so thanks for the links!
", "votes": 1, "replies": [ { "id": 928000, "author_name": "thomas kern", "author_url": "", "post_date": "2020-07-13T17:18:20.853000", "content": "see:\nhttps://poissonisfish.com/2020/04/05/audio-classification-in-r/\nlibrary(seewave)\nlibrary(soundgen)\nlibrary(tuneR)\nlibrary(bioacoustics)\nlibrary(warbleR)
", "votes": 2, "replies": [] }, { "id": 939126, "author_name": "Oliver Burrus", "author_url": "", "post_date": "2020-07-22T03:49:21.213000", "content": "Thanks!
", "votes": 0, "replies": [] } ] }, { "id": 917025, "author_name": "Jaseem C K", "author_url": "", "post_date": "2020-07-06T07:24:31.627000", "content": "HI! This is so cool. I have the basics in python language and ml foundation. But still getting into the competition still seems to be really tough. What are the things that a beginner should look for when they are aiming to get to the top half of any Kaggle competition?
", "votes": 1, "replies": [ { "id": 939105, "author_name": "Savio", "author_url": "", "post_date": "2020-07-22T03:23:38.957000", "content": "I think it would be good if you could work on the courses that are made available by Kaggle. They give you a better idea for approaching the competitions.
\nhttps://www.kaggle.com/learn/overview
", "votes": 0, "replies": [] }, { "id": 961933, "author_name": "Marco Gorelli", "author_url": "", "post_date": "2020-08-07T16:20:15.813000", "content": "Do your own EDA, read the discussion posts, read at least one public notebook (and fullly understand it!), try your own ideas
", "votes": 1, "replies": [] } ] }, { "id": 1035316, "author_name": "ZanePy", "author_url": "", "post_date": "2020-10-02T16:19:34.137000", "content": "Hello, thanks for starting this thread. Kaggle is great, haven't been on it much, but soon will be on it more. I will definitely post questions about ML as they arise. : )
", "votes": 0, "replies": [] }, { "id": 1035106, "author_name": "João VÃtor Menezes", "author_url": "", "post_date": "2020-10-02T12:57:09.623000", "content": "Thanks! This data set is very interesting.
", "votes": 0, "replies": [] }, { "id": 1006494, "author_name": "DoÄŸan Patar", "author_url": "", "post_date": "2020-09-11T09:41:35.423000", "content": "Hi, first time submitting to a competition.
", "votes": 0, "replies": [] }, { "id": 1004297, "author_name": "Rajesh Kant", "author_url": "", "post_date": "2020-09-09T15:45:45.883000", "content": "Hey, I don't know how stupid this question may sound, but because I've spent so much time in understanding various libraries and training models for this project, I have to ask this.
\nI have worked out the model and everything, but what I don't understand is how to create the submission file. I mean what is the audio file mentioned in test.csv?
\nAny help would be appreciated.
Hi, I'd love to be a part of your community. I'll try again.
", "votes": 0, "replies": [] }, { "id": 971795, "author_name": "leodav", "author_url": "", "post_date": "2020-08-15T22:26:55.210000", "content": "Hi! This is my first competition though I have prior machine learning experience. I have a few questions regarding Kaggle competition or this competition specifically:
\n1) Do I have to train model during submission or training can be done prior?
\n2) Can we train models on machines outside kaggle, so when we are asked for the entire workflow does it have to be runnable on kaggle?
\n3) Can we use other models resnest, efficientnet, densenet as part of our final submission workflow?
training can be done prior
\nyou can train outside kaggle
\nyou can use other models, but (as far as I understand) any external packages / datasets need to be declared in the external data thread. Make sure to respect licenses and to submit a notebook which runs without internet access
Hi! Does anyone know the different audio processing libraries in python? So far, I saw librosa.
", "votes": 0, "replies": [] }, { "id": 951733, "author_name": "Waseem Kurne", "author_url": "", "post_date": "2020-07-30T10:53:26.643000", "content": "Hii
", "votes": 0, "replies": [] }, { "id": 951732, "author_name": "Rahul Yadav129", "author_url": "", "post_date": "2020-07-30T10:52:24.747000", "content": "Hiii
", "votes": 0, "replies": [] }, { "id": 916977, "author_name": "Krishna Harish", "author_url": "", "post_date": "2020-07-06T06:48:38.967000", "content": "Hi!
", "votes": 0, "replies": [] }, { "id": 980727, "author_name": "", "author_url": "", "post_date": "2020-08-21T19:58:35.563000", "content": "", "votes": 0, "replies": [ { "id": 980955, "author_name": "leodav", "author_url": "", "post_date": "2020-08-22T03:43:52.737000", "content": "Try reading through some of the notebooks and how they handle things. Among community torch seems more favourite at least for this competion so it might be easier to start with it. It is my first competition and I started with tensorflow but seeing it would be easier to cross-learn via torch, I switched to that. If you ensist on tensorflow.
\nhttps://www.kaggle.com/luisblanche/tensorflow-audio-reading-resnet-training
\nyou can also take a look at the work I started but I never finished and probably would not but there
are some useful bits in terms of how to handle data if you are using tensorflow etc:
\nhttps://www.kaggle.com/leodav/birdsong-tpu-tensorflow-efficientnet-b4-train