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.
\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.
\nHappy Modeling!
", "messages": [ { "id": 2183369, "postDate": "2023-03-15T15:58:03.977Z", "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.
\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.
\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\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](https://www.kaggle.com/community-guidelines).\n\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.\n\n \n\nHappy Modeling!\n", "votes": 19 }, { "id": 2204498, "postDate": "2023-03-31T16:06:54.580Z", "content": "I am also new. I want to be a Machine Learning Engineer.
", "rawMarkdown": "I am also new. I want to be a Machine Learning Engineer.", "votes": 4 }, { "id": 2204744, "postDate": "2023-03-31T22:02:44.563Z", "content": "Great work!
", "rawMarkdown": "Great work!", "votes": 1 }, { "id": 2204043, "postDate": "2023-03-31T10:38:48.090Z", "content": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more
", "rawMarkdown": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more ", "votes": 1 }, { "id": 2243695, "postDate": "2023-05-03T05:20:29.613Z", "content": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more in this field.
", "rawMarkdown": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more in this field.\n\n" }, { "id": 2226897, "postDate": "2023-04-19T10:36:13.443Z", "content": "I want to learn more.
", "rawMarkdown": "\nI want to learn more." }, { "id": 2226070, "postDate": "2023-04-18T16:20:07.867Z", "content": "Can we do computer vision task in R?
", "rawMarkdown": "Can we do computer vision task in R?", "replies": [ { "id": 2226336, "postDate": "2023-04-18T21:00:27.233Z", "content": "yes, but it will be painfull
", "rawMarkdown": "yes, but it will be painfull", "votes": 2 } ] }, { "id": 2220743, "postDate": "2023-04-13T16:33:37.577Z", "content": "Thanks a lot for your kind information. I am also new here.
", "rawMarkdown": "Thanks a lot for your kind information. I am also new here." }, { "id": 2260841, "postDate": "2023-05-15T23:33:31.643Z", "rawMarkdown": "", "isDeleted": true }, { "id": 2290839, "postDate": "2023-06-07T06:34:45.770Z", "content": "Thanks a lot for sharing !!!
", "rawMarkdown": "Thanks a lot for sharing !!!", "votes": 1 }, { "id": 2211097, "postDate": "2023-04-05T19:43:43.100Z", "content": "Thank you for useful links Maggie!
", "rawMarkdown": "Thank you for useful links Maggie!", "votes": 1 }, { "id": 2292686, "postDate": "2023-06-08T15:13:10.787Z", "content": "Really cool. Thank you!
", "rawMarkdown": "Really cool. Thank you!" } ], "comments": [ { "id": 2204498, "author_name": "Md.Hasinur Rahman", "author_url": "", "post_date": "2023-03-31T16:06:54.580000", "content": "I am also new. I want to be a Machine Learning Engineer.
", "votes": 4, "replies": [] }, { "id": 2204744, "author_name": "Mohamed Ali Ben Azzouna", "author_url": "", "post_date": "2023-03-31T22:02:44.563000", "content": "Great work!
", "votes": 1, "replies": [] }, { "id": 2204043, "author_name": "Ahsanullah2258", "author_url": "", "post_date": "2023-03-31T10:38:48.090000", "content": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more
", "votes": 1, "replies": [] }, { "id": 2243695, "author_name": "Shagufta Perveen", "author_url": "", "post_date": "2023-05-03T05:20:29.613000", "content": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more in this field.
", "votes": 0, "replies": [] }, { "id": 2226897, "author_name": "Keliang Liu", "author_url": "", "post_date": "2023-04-19T10:36:13.443000", "content": "I want to learn more.
", "votes": 0, "replies": [] }, { "id": 2226070, "author_name": "Sinshi", "author_url": "", "post_date": "2023-04-18T16:20:07.867000", "content": "Can we do computer vision task in R?
", "votes": 0, "replies": [ { "id": 2226336, "author_name": "Kostiantyn Maksymov", "author_url": "", "post_date": "2023-04-18T21:00:27.233000", "content": "yes, but it will be painfull
", "votes": 2, "replies": [] } ] }, { "id": 2220743, "author_name": "Tamanna Akter Swarna", "author_url": "", "post_date": "2023-04-13T16:33:37.577000", "content": "Thanks a lot for your kind information. I am also new here.
", "votes": 0, "replies": [] }, { "id": 2260841, "author_name": "", "author_url": "", "post_date": "2023-05-15T23:33:31.643000", "content": "", "votes": 0, "replies": [] }, { "id": 2290839, "author_name": "Ashesh Saha", "author_url": "", "post_date": "2023-06-07T06:34:45.770000", "content": "Thanks a lot for sharing !!!
", "votes": 1, "replies": [] }, { "id": 2211097, "author_name": "Albert Galimov", "author_url": "", "post_date": "2023-04-05T19:43:43.100000", "content": "Thank you for useful links Maggie!
", "votes": 1, "replies": [] }, { "id": 2292686, "author_name": "George Paterakis", "author_url": "", "post_date": "2023-06-08T15:13:10.787000", "content": "Really cool. Thank you!
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2183369": "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\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](https://www.kaggle.com/community-guidelines).\n\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.\n\n \n\nHappy Modeling!\n", "2204498": "I am also new. I want to be a Machine Learning Engineer.", "2204744": "Great work!", "2204043": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more ", "2243695": "I'm new in DS and i wanna to learn much more deeply so kindly add me in your team through which i can learnt much more in this field.\n\n", "2226897": "\nI want to learn more.", "2226070": "Can we do computer vision task in R?", "2220743": "Thanks a lot for your kind information. I am also new here.", "2260841": "", "2290839": "Thanks a lot for sharing !!!", "2211097": "Thank you for useful links Maggie!", "2292686": "Really cool. Thank you!" } }