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": 1671666, "postDate": "2022-02-01T16:33:11.540Z", "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": 37 }, { "id": 1676726, "postDate": "2022-02-05T09:02:24.650Z", "content": "Hi,
\nI am Chandani and I am new to Kaggle.
\nI have been directed to Kaggle by Google data analyst professional certificate course, feeling a lot lost though.
\nLooking forward to learning and making the most out of this platform.
\nThanks!
", "rawMarkdown": "Hi,\n\nI am Chandani and I am new to Kaggle. \n\nI have been directed to Kaggle by Google data analyst professional certificate course, feeling a lot lost though. \n\nLooking forward to learning and making the most out of this platform.\n\nThanks!", "votes": 3 }, { "id": 1714657, "postDate": "2022-03-07T07:59:48.037Z", "content": "Hello friends, new here just trying to explore and get used to the environment…thanks do connect we'll grow together..
", "rawMarkdown": "Hello friends, new here just trying to explore and get used to the environment...thanks do connect we'll grow together..", "votes": 1 }, { "id": 1704071, "postDate": "2022-02-25T06:15:23.210Z", "content": "Hello! I am new as well. I have been doing some machine learning already, some of it in Kaggle's ConnectX. This would be my first \"for money\" competition, and I already feel the pressure. There are such scary competitors! I hope I can learn from them.
\nI would like to ask something: How are people already getting leaderboard medals? Aren't they awarded once the competition is over?
\nAnd another one: I don't get the whole \"Once a correct label has been scored for an observation, that label is no longer considered relevant for that observation, and additional predictions of that label are skipped in the calculation\" in the Evaluation section of the Overview of this competition. What does it mean?? I feel stupid, I didn't understand even after seeing the example. https://www.kaggle.com/c/happy-whale-and-dolphin/overview/evaluation
", "rawMarkdown": "Hello! I am new as well. I have been doing some machine learning already, some of it in Kaggle's ConnectX. This would be my first \"for money\" competition, and I already feel the pressure. There are such scary competitors! I hope I can learn from them.\n\nI would like to ask something: How are people already getting leaderboard medals? Aren't they awarded once the competition is over?\n\nAnd another one: I don't get the whole \"Once a correct label has been scored for an observation, that label is no longer considered relevant for that observation, and additional predictions of that label are skipped in the calculation\" in the Evaluation section of the Overview of this competition. What does it mean?? I feel stupid, I didn't understand even after seeing the example. https://www.kaggle.com/c/happy-whale-and-dolphin/overview/evaluation", "votes": 1, "replies": [ { "id": 1712835, "postDate": "2022-03-05T12:02:44.773Z", "content": "Hi, I'm new here too, let me know if you want to join up as a team, as I am looking.
\nI actually just read the answerto your question about the \"Once a correct label has been scored for an observation, that label is no longer considered relevant for that observation, and additional predictions of that label are skipped in the calculation.\" in a notebook someone shared which I unfortunately can't find now.
\nbut basically because you give five possible answers for each image, in order of likelihood. If the first answer is correct it receives the full score of 1 for that image. if the second answer is the correct whale/dolphin you receive a score of 1/2 for that image, and if the third is correct you receive a score of 1/3 for that image. etc. so once the correct label is scored (based on where it was in your lineup of the five most likely whales/dolphins, per image) then it moves on to the next image, since it could not be any of the following subsequent whales/dolphins in that list for that image, there is not need to check them.
\nFor example if for image 1 you have your five predicted whales and the second whale is the actual correct whale for that image. youd receive a score of 0 for the first whale (since it was wrong) and then a score of 1/2 for thes second whale (since it was the correct whale), then it would no longer need to continue checking if the third, fourth or fifth whale were correct, since the correct whale had already been identified in your second guess, (and the remaining three whales would produce a score of 0). youd get the score of 0(for the first guess)+1/2(for the second guess)=1/2 (total score for image 1). It would be a waste of time/energy to check the remaining whales/dolphins since logically they could not be the correct answer and therefore would only produce scores of 0 to be unnecessarily added.
I see! Thank you, RTurk! Yes I would like to form a team with you. I am reading stuff about this competition since 3 weeks ago, but I didn't start yet. I was collecting some insights as to what could possibly work best.
", "rawMarkdown": "I see! Thank you, RTurk! Yes I would like to form a team with you. I am reading stuff about this competition since 3 weeks ago, but I didn't start yet. I was collecting some insights as to what could possibly work best." }, { "id": 1713858, "postDate": "2022-03-06T12:51:25.083Z", "content": "cool I sent a merge request
\nI haven't started anything either I been reading through shared notebooks, and other forum topics for this competition.but im pretty new to this, Id be happy if we can atleast get a notebook together that works correctly with some modest amount of accuracy. are you on discord?
Same here, I hope we get a medal! 😝 I sent you an email with my discord username in it.
", "rawMarkdown": "Same here, I hope we get a medal! 😝 I sent you an email with my discord username in it." }, { "id": 1714285, "postDate": "2022-03-06T18:49:55.497Z", "content": "i sent a friend request on discord just now
", "rawMarkdown": "i sent a friend request on discord just now" }, { "id": 1754907, "postDate": "2022-04-14T06:01:54.267Z", "content": "i also interested to join your team
\nIs there a still space for me
Hello everyone, My name is Uday. I am new to Kaggle too, exploring and finding it very interesting. Happy to start and looking forward to the AI/ML ride.
", "rawMarkdown": "Hello everyone, My name is Uday. I am new to Kaggle too, exploring and finding it very interesting. Happy to start and looking forward to the AI/ML ride. ", "votes": 1 }, { "id": 1680387, "postDate": "2022-02-07T19:06:13.463Z", "content": "Hi, My name is Dawn and I'm new to Kaggle. My Lecturer, Dr. Muhammad Awais suggested that this will be a very useful tool for improving my data science experience. I'm looking forwards to joining and using the platform.
", "rawMarkdown": "Hi, My name is Dawn and I'm new to Kaggle. My Lecturer, Dr. Muhammad Awais suggested that this will be a very useful tool for improving my data science experience. I'm looking forwards to joining and using the platform.", "votes": 1 }, { "id": 1676927, "postDate": "2022-02-05T11:58:11.387Z", "content": "Just came here to say Hi and all the best to everyone competing. Looking forward to some interesting solutions and contribute to the cause.
", "rawMarkdown": "Just came here to say Hi and all the best to everyone competing. Looking forward to some interesting solutions and contribute to the cause.", "votes": 1 }, { "id": 2635387, "postDate": "2024-02-04T11:22:22.653Z", "content": "Hii,
\nI am Meet and i am new to both Kaggel and the AI.
\nI want some guidance to move further in this field.
Hi, I am new. Please share a road map.
", "rawMarkdown": "Hi, I am new. Please share a road map." }, { "id": 1754680, "postDate": "2022-04-13T21:33:24.787Z", "content": "Hello! I am trying to use kaggle more, so I hope partipating more in the discussions.
", "rawMarkdown": "Hello! I am trying to use kaggle more, so I hope partipating more in the discussions. " }, { "id": 1751780, "postDate": "2022-04-11T05:45:30.977Z", "content": "Always study as a new member 🤗
", "rawMarkdown": "Always study as a new member 🤗" }, { "id": 1751775, "postDate": "2022-04-11T05:39:32.153Z", "content": "\nMy team is planning to merge with another team. If we merge then, the combined submission will be greater than 370.
\nI heard from one of the participants that the overall submission for a team should not cross 360
Is there any limitation in Kaggle?
", "rawMarkdown": "@addisonhoward \n\nMy team is planning to merge with another team. If we merge then, the combined submission will be greater than 370.\nI heard from one of the participants that the overall submission for a team should not cross 360\n\nIs there any limitation in Kaggle?\n", "replies": [ { "id": 1752280, "postDate": "2022-04-11T15:28:40.567Z", "content": "Hi there,
\nOverall submissions for a combined team, cannot total what overall submissions would be to date. So it's based on the number of daily submissions (5) times the number of days elapsed so far in the competition. Unfortunately, today is the last day to merge teams, so you may have too many combined submissions to be allowed to merge.
", "rawMarkdown": "Hi there,\n\nOverall submissions for a combined team, cannot total what overall submissions would be to date. So it's based on the number of daily submissions (5) times the number of days elapsed so far in the competition. Unfortunately, today is the last day to merge teams, so you may have too many combined submissions to be allowed to merge. " } ] }, { "id": 1741565, "postDate": "2022-04-01T00:30:37.323Z", "content": "I would like to know, what is a merger deadline? (which is 11 days from now) Do I have 11 or 18 days to finish my submission file?
", "rawMarkdown": "I would like to know, what is a merger deadline? (which is 11 days from now) Do I have 11 or 18 days to finish my submission file?" }, { "id": 1740945, "postDate": "2022-03-31T11:52:05.327Z", "content": "Hi kaggle community! Whales are super awesome
", "rawMarkdown": "Hi kaggle community! Whales are super awesome" }, { "id": 1740198, "postDate": "2022-03-30T17:41:09.937Z", "content": "Hello !! kaggle is also new for me. I learn and try to apply some concepts .
", "rawMarkdown": "Hello !! kaggle is also new for me. I learn and try to apply some concepts ." }, { "id": 1731006, "postDate": "2022-03-21T22:47:50.427Z", "content": "Hi kaggle community and whalers!
", "rawMarkdown": "Hi kaggle community and whalers!" }, { "id": 1730810, "postDate": "2022-03-21T16:20:16.080Z", "content": "Hi everyone, this is my first competition and i have a very basic question regarding this :-
\nAfter the EDA part I don't know how to start the classification of the images as mostly I have used pre-trained models like VGG ,INCEPTION etc. on dataset where the images are classified in particular folder but that's not the case here and the notebooks here where they have trained the models are very complex for me to understand.
\nSo can anyone suggest me how to start the classification part for these types of dataset or can suggest me some resources to kickstart these things as i have general idea on this?
\nHave a great day !!! 😊
", "rawMarkdown": "Hi everyone, this is my first competition and i have a very basic question regarding this :-\n\nAfter the EDA part I don't know how to start the classification of the images as mostly I have used pre-trained models like VGG ,INCEPTION etc. on dataset where the images are classified in particular folder but that's not the case here and the notebooks here where they have trained the models are very complex for me to understand.\n\nSo can anyone suggest me how to start the classification part for these types of dataset or can suggest me some resources to kickstart these things as i have general idea on this? \n\nHave a great day !!! 😊" }, { "id": 1692455, "postDate": "2022-02-16T03:49:04.383Z", "content": "Hi I'm new here. Just a quick question. How should I train my model? I see many people using EfficientNet. How long does that take to run? Are there tutorials on how to train on Kaggle vs CoLabs? How do you save your work on pre-emptive instances and have them start up afterwards?
", "rawMarkdown": "Hi I'm new here. Just a quick question. How should I train my model? I see many people using EfficientNet. How long does that take to run? Are there tutorials on how to train on Kaggle vs CoLabs? How do you save your work on pre-emptive instances and have them start up afterwards?" }, { "id": 1745996, "postDate": "2022-04-05T13:00:34.820Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1728203, "postDate": "2022-03-18T16:57:02.933Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 1676726, "author_name": "Chandani Bhandari", "author_url": "", "post_date": "2022-02-05T09:02:24.650000", "content": "Hi,
\nI am Chandani and I am new to Kaggle.
\nI have been directed to Kaggle by Google data analyst professional certificate course, feeling a lot lost though.
\nLooking forward to learning and making the most out of this platform.
\nThanks!
", "votes": 3, "replies": [] }, { "id": 1714657, "author_name": "akash sapariya", "author_url": "", "post_date": "2022-03-07T07:59:48.037000", "content": "Hello friends, new here just trying to explore and get used to the environment…thanks do connect we'll grow together..
", "votes": 1, "replies": [] }, { "id": 1704071, "author_name": "Brian Salamone", "author_url": "", "post_date": "2022-02-25T06:15:23.210000", "content": "Hello! I am new as well. I have been doing some machine learning already, some of it in Kaggle's ConnectX. This would be my first \"for money\" competition, and I already feel the pressure. There are such scary competitors! I hope I can learn from them.
\nI would like to ask something: How are people already getting leaderboard medals? Aren't they awarded once the competition is over?
\nAnd another one: I don't get the whole \"Once a correct label has been scored for an observation, that label is no longer considered relevant for that observation, and additional predictions of that label are skipped in the calculation\" in the Evaluation section of the Overview of this competition. What does it mean?? I feel stupid, I didn't understand even after seeing the example. https://www.kaggle.com/c/happy-whale-and-dolphin/overview/evaluation
", "votes": 1, "replies": [ { "id": 1712835, "author_name": "RTurk", "author_url": "", "post_date": "2022-03-05T12:02:44.773000", "content": "Hi, I'm new here too, let me know if you want to join up as a team, as I am looking.
\nI actually just read the answerto your question about the \"Once a correct label has been scored for an observation, that label is no longer considered relevant for that observation, and additional predictions of that label are skipped in the calculation.\" in a notebook someone shared which I unfortunately can't find now.
\nbut basically because you give five possible answers for each image, in order of likelihood. If the first answer is correct it receives the full score of 1 for that image. if the second answer is the correct whale/dolphin you receive a score of 1/2 for that image, and if the third is correct you receive a score of 1/3 for that image. etc. so once the correct label is scored (based on where it was in your lineup of the five most likely whales/dolphins, per image) then it moves on to the next image, since it could not be any of the following subsequent whales/dolphins in that list for that image, there is not need to check them.
\nFor example if for image 1 you have your five predicted whales and the second whale is the actual correct whale for that image. youd receive a score of 0 for the first whale (since it was wrong) and then a score of 1/2 for thes second whale (since it was the correct whale), then it would no longer need to continue checking if the third, fourth or fifth whale were correct, since the correct whale had already been identified in your second guess, (and the remaining three whales would produce a score of 0). youd get the score of 0(for the first guess)+1/2(for the second guess)=1/2 (total score for image 1). It would be a waste of time/energy to check the remaining whales/dolphins since logically they could not be the correct answer and therefore would only produce scores of 0 to be unnecessarily added.
I see! Thank you, RTurk! Yes I would like to form a team with you. I am reading stuff about this competition since 3 weeks ago, but I didn't start yet. I was collecting some insights as to what could possibly work best.
", "votes": 0, "replies": [] }, { "id": 1713858, "author_name": "RTurk", "author_url": "", "post_date": "2022-03-06T12:51:25.083000", "content": "cool I sent a merge request
\nI haven't started anything either I been reading through shared notebooks, and other forum topics for this competition.but im pretty new to this, Id be happy if we can atleast get a notebook together that works correctly with some modest amount of accuracy. are you on discord?
Same here, I hope we get a medal! 😝 I sent you an email with my discord username in it.
", "votes": 0, "replies": [] }, { "id": 1714285, "author_name": "RTurk", "author_url": "", "post_date": "2022-03-06T18:49:55.497000", "content": "i sent a friend request on discord just now
", "votes": 0, "replies": [] }, { "id": 1754907, "author_name": "GurSimran", "author_url": "", "post_date": "2022-04-14T06:01:54.267000", "content": "i also interested to join your team
\nIs there a still space for me
Hello everyone, My name is Uday. I am new to Kaggle too, exploring and finding it very interesting. Happy to start and looking forward to the AI/ML ride.
", "votes": 1, "replies": [] }, { "id": 1680387, "author_name": "Dawn Galletly", "author_url": "", "post_date": "2022-02-07T19:06:13.463000", "content": "Hi, My name is Dawn and I'm new to Kaggle. My Lecturer, Dr. Muhammad Awais suggested that this will be a very useful tool for improving my data science experience. I'm looking forwards to joining and using the platform.
", "votes": 1, "replies": [] }, { "id": 1676927, "author_name": "Nitish", "author_url": "", "post_date": "2022-02-05T11:58:11.387000", "content": "Just came here to say Hi and all the best to everyone competing. Looking forward to some interesting solutions and contribute to the cause.
", "votes": 1, "replies": [] }, { "id": 2635387, "author_name": "Meet Ashara ", "author_url": "", "post_date": "2024-02-04T11:22:22.653000", "content": "Hii,
\nI am Meet and i am new to both Kaggel and the AI.
\nI want some guidance to move further in this field.
Hi, I am new. Please share a road map.
", "votes": 0, "replies": [] }, { "id": 1754680, "author_name": "Naboo", "author_url": "", "post_date": "2022-04-13T21:33:24.787000", "content": "Hello! I am trying to use kaggle more, so I hope partipating more in the discussions.
", "votes": 0, "replies": [] }, { "id": 1751780, "author_name": "Ms. Nancy Al Aswad", "author_url": "", "post_date": "2022-04-11T05:45:30.977000", "content": "Always study as a new member 🤗
", "votes": 0, "replies": [] }, { "id": 1751775, "author_name": "Balaji Selvaraj", "author_url": "", "post_date": "2022-04-11T05:39:32.153000", "content": "\nMy team is planning to merge with another team. If we merge then, the combined submission will be greater than 370.
\nI heard from one of the participants that the overall submission for a team should not cross 360
Is there any limitation in Kaggle?
", "votes": 0, "replies": [ { "id": 1752280, "author_name": "Addison Howard", "author_url": "", "post_date": "2022-04-11T15:28:40.567000", "content": "Hi there,
\nOverall submissions for a combined team, cannot total what overall submissions would be to date. So it's based on the number of daily submissions (5) times the number of days elapsed so far in the competition. Unfortunately, today is the last day to merge teams, so you may have too many combined submissions to be allowed to merge.
", "votes": 0, "replies": [] } ] }, { "id": 1741565, "author_name": "Brian Salamone", "author_url": "", "post_date": "2022-04-01T00:30:37.323000", "content": "I would like to know, what is a merger deadline? (which is 11 days from now) Do I have 11 or 18 days to finish my submission file?
", "votes": 0, "replies": [] }, { "id": 1740945, "author_name": "PhDrobbe", "author_url": "", "post_date": "2022-03-31T11:52:05.327000", "content": "Hi kaggle community! Whales are super awesome
", "votes": 0, "replies": [] }, { "id": 1740198, "author_name": "learner", "author_url": "", "post_date": "2022-03-30T17:41:09.937000", "content": "Hello !! kaggle is also new for me. I learn and try to apply some concepts .
", "votes": 0, "replies": [] }, { "id": 1731006, "author_name": "Yosemat", "author_url": "", "post_date": "2022-03-21T22:47:50.427000", "content": "Hi kaggle community and whalers!
", "votes": 0, "replies": [] }, { "id": 1730810, "author_name": "KUNAL RAWAT", "author_url": "", "post_date": "2022-03-21T16:20:16.080000", "content": "Hi everyone, this is my first competition and i have a very basic question regarding this :-
\nAfter the EDA part I don't know how to start the classification of the images as mostly I have used pre-trained models like VGG ,INCEPTION etc. on dataset where the images are classified in particular folder but that's not the case here and the notebooks here where they have trained the models are very complex for me to understand.
\nSo can anyone suggest me how to start the classification part for these types of dataset or can suggest me some resources to kickstart these things as i have general idea on this?
\nHave a great day !!! 😊
", "votes": 0, "replies": [] }, { "id": 1692455, "author_name": "Paul", "author_url": "", "post_date": "2022-02-16T03:49:04.383000", "content": "Hi I'm new here. Just a quick question. How should I train my model? I see many people using EfficientNet. How long does that take to run? Are there tutorials on how to train on Kaggle vs CoLabs? How do you save your work on pre-emptive instances and have them start up afterwards?
", "votes": 0, "replies": [] }, { "id": 1745996, "author_name": "", "author_url": "", "post_date": "2022-04-05T13:00:34.820000", "content": "", "votes": 0, "replies": [] }, { "id": 1728203, "author_name": "", "author_url": "", "post_date": "2022-03-18T16:57:02.933000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1671666": "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!", "1676726": "Hi,\n\nI am Chandani and I am new to Kaggle. \n\nI have been directed to Kaggle by Google data analyst professional certificate course, feeling a lot lost though. \n\nLooking forward to learning and making the most out of this platform.\n\nThanks!", "1714657": "Hello friends, new here just trying to explore and get used to the environment...thanks do connect we'll grow together..", "1704071": "Hello! I am new as well. I have been doing some machine learning already, some of it in Kaggle's ConnectX. This would be my first \"for money\" competition, and I already feel the pressure. There are such scary competitors! I hope I can learn from them.\n\nI would like to ask something: How are people already getting leaderboard medals? Aren't they awarded once the competition is over?\n\nAnd another one: I don't get the whole \"Once a correct label has been scored for an observation, that label is no longer considered relevant for that observation, and additional predictions of that label are skipped in the calculation\" in the Evaluation section of the Overview of this competition. What does it mean?? I feel stupid, I didn't understand even after seeing the example. https://www.kaggle.com/c/happy-whale-and-dolphin/overview/evaluation", "1680531": "Hello everyone, My name is Uday. I am new to Kaggle too, exploring and finding it very interesting. Happy to start and looking forward to the AI/ML ride. ", "1680387": "Hi, My name is Dawn and I'm new to Kaggle. My Lecturer, Dr. Muhammad Awais suggested that this will be a very useful tool for improving my data science experience. I'm looking forwards to joining and using the platform.", "1676927": "Just came here to say Hi and all the best to everyone competing. Looking forward to some interesting solutions and contribute to the cause.", "2635387": "Hii,\nI am Meet and i am new to both Kaggel and the AI.\nI want some guidance to move further in this field. ", "1765579": "Hi, I am new. Please share a road map.", "1754680": "Hello! I am trying to use kaggle more, so I hope partipating more in the discussions. ", "1751780": "Always study as a new member 🤗", "1751775": "@addisonhoward \n\nMy team is planning to merge with another team. If we merge then, the combined submission will be greater than 370.\nI heard from one of the participants that the overall submission for a team should not cross 360\n\nIs there any limitation in Kaggle?\n", "1741565": "I would like to know, what is a merger deadline? (which is 11 days from now) Do I have 11 or 18 days to finish my submission file?", "1740945": "Hi kaggle community! Whales are super awesome", "1740198": "Hello !! kaggle is also new for me. I learn and try to apply some concepts .", "1731006": "Hi kaggle community and whalers!", "1730810": "Hi everyone, this is my first competition and i have a very basic question regarding this :-\n\nAfter the EDA part I don't know how to start the classification of the images as mostly I have used pre-trained models like VGG ,INCEPTION etc. on dataset where the images are classified in particular folder but that's not the case here and the notebooks here where they have trained the models are very complex for me to understand.\n\nSo can anyone suggest me how to start the classification part for these types of dataset or can suggest me some resources to kickstart these things as i have general idea on this? \n\nHave a great day !!! 😊", "1692455": "Hi I'm new here. Just a quick question. How should I train my model? I see many people using EfficientNet. How long does that take to run? Are there tutorials on how to train on Kaggle vs CoLabs? How do you save your work on pre-emptive instances and have them start up afterwards?", "1745996": "", "1728203": "" } }