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 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": 1680308, "postDate": "2022-02-07T18:15:42.273Z", "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 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": 55 }, { "id": 1690348, "postDate": "2022-02-14T22:02:12.727Z", "content": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.
", "rawMarkdown": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning. ", "votes": 1 }, { "id": 1709314, "postDate": "2022-03-02T05:20:23.627Z", "content": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.
", "rawMarkdown": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.\n\n", "votes": 2 }, { "id": 3076611, "postDate": "2024-12-20T05:41:23.860Z", "content": "This is a wonderful thread for those new to Kaggle.
", "rawMarkdown": "This is a wonderful thread for those new to Kaggle." }, { "id": 1758711, "postDate": "2022-04-18T02:11:57.450Z", "content": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.
", "rawMarkdown": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning." }, { "id": 1755225, "postDate": "2022-04-14T12:33:01.183Z", "content": "Oh! I was just thinking about how to make better use of Kaggle Notebook, thanks for you advice!
", "rawMarkdown": "Oh! I was just thinking about how to make better use of Kaggle Notebook, thanks for you advice!" }, { "id": 1747485, "postDate": "2022-04-06T17:19:45.420Z", "content": "Hello,
\nThanks for creating the thread, new to ML and Data Science. Have a great journey everyone !
Thank you so much for creathing this thread. Bookmarked it!!
", "rawMarkdown": "Thank you so much for creathing this thread. Bookmarked it!!" }, { "id": 1736552, "postDate": "2022-03-27T12:49:48.407Z", "content": "Thank you for sharing it.I'm going to try it on.
", "rawMarkdown": "Thank you for sharing it.I'm going to try it on." }, { "id": 1719671, "postDate": "2022-03-12T01:17:59.673Z", "content": "I have a question.
\nHow do I know the meaning of the column names in the data?
\nFor example, I want to know the meaning of \"FN\" in customers.csv.
Hi everyone, I'm new to kaggle/data science.
\nJust wondering, when you guys started working on the codes, you downloaded the whole thing?
\nor you used some kind of… reading through raw data (using the url)?
\nThank you for your attention.
\nEduardo
See this thread
\nhttps://www.kaggle.com/c/h-and-m-personalized-fashion-recommendations/discussion/307001
", "rawMarkdown": "See this thread\n\nhttps://www.kaggle.com/c/h-and-m-personalized-fashion-recommendations/discussion/307001", "votes": 2 } ] }, { "id": 1702613, "postDate": "2022-02-23T18:58:26.023Z", "content": "Thank You Maggie for posting this, am new to machine learning and AI methods, would love to join the thread. Swapna Kanduri
", "rawMarkdown": "Thank You Maggie for posting this, am new to machine learning and AI methods, would love to join the thread. Swapna Kanduri" }, { "id": 1700362, "postDate": "2022-02-21T21:58:14.240Z", "content": "first post! question - what does LB stand for. keep coming across this term but unsure what it stands for!
", "rawMarkdown": "first post! question - what does LB stand for. keep coming across this term but unsure what it stands for!", "replies": [ { "id": 1701731, "postDate": "2022-02-23T03:08:41.347Z", "content": "I think it means LeaderBoards, the score of the competition
", "rawMarkdown": "I think it means LeaderBoards, the score of the competition", "votes": 1 } ] }, { "id": 1699539, "postDate": "2022-02-21T08:53:48.490Z", "content": "This competition is my first time to participate in kaggle!
\nI will do my best to SUBMIT anyway, regardless of the rank.
\nThank you for making this thread!
Thanks for sharing! I'm fairly new to all this Machine Learning stuff, but I can't wait to learn more!
", "rawMarkdown": "Thanks for sharing! I'm fairly new to all this Machine Learning stuff, but I can't wait to learn more!" }, { "id": 1687243, "postDate": "2022-02-12T17:31:27.650Z", "content": "Can you also explain in what competitions would we use Deep Learning algorithms vs Machine learning algorithms
", "rawMarkdown": "Can you also explain in what competitions would we use Deep Learning algorithms vs Machine learning algorithms", "replies": [ { "id": 1706509, "postDate": "2022-02-27T14:26:46.170Z", "content": "Bro it totally depends on the problem statement. Such as if you are doing a complex problem such as speech recognition or NLP then you should go with DL and if it the problem isn't that complex then you may go with ML. We should select the approach that best suites our problem and gives us desired results within the minimum time.
", "rawMarkdown": "Bro it totally depends on the problem statement. Such as if you are doing a complex problem such as speech recognition or NLP then you should go with DL and if it the problem isn't that complex then you may go with ML. We should select the approach that best suites our problem and gives us desired results within the minimum time.", "isDeleted": true } ] }, { "id": 1686443, "postDate": "2022-02-12T04:30:36.683Z", "content": "Im new to kaggle, Machine learning and Data Science. Please someone guide me through
", "rawMarkdown": "Im new to kaggle, Machine learning and Data Science. Please someone guide me through" }, { "id": 1685819, "postDate": "2022-02-11T15:03:27.833Z", "content": "Thanks for sharing beutiful resources..it's really helpful for beginners.
", "rawMarkdown": "Thanks for sharing beutiful resources..it's really helpful for beginners. " }, { "id": 1755716, "postDate": "2022-04-14T22:19:52.747Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1715534, "postDate": "2022-03-08T05:52:18.643Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1690246, "postDate": "2022-02-14T20:08:10.033Z", "content": "Thank you for sharing!
", "rawMarkdown": "Thank you for sharing!", "votes": 2 }, { "id": 1762989, "postDate": "2022-04-21T07:14:00.923Z", "content": "Thanks for the thread
", "rawMarkdown": "Thanks for the thread" }, { "id": 1761720, "postDate": "2022-04-20T05:35:31.567Z", "content": "Thank you! This was super informative
", "rawMarkdown": "Thank you! This was super informative " }, { "id": 1738079, "postDate": "2022-03-29T02:15:29.140Z", "content": "thank you very much for this thread!
", "rawMarkdown": "thank you very much for this thread!" }, { "id": 1737558, "postDate": "2022-03-28T14:29:48.217Z", "content": "Thank you for the info!
", "rawMarkdown": "Thank you for the info!" }, { "id": 1728950, "postDate": "2022-03-19T13:26:59.190Z", "content": "Thank you for sharing!
", "rawMarkdown": "Thank you for sharing!" }, { "id": 1712500, "postDate": "2022-03-05T02:12:49.547Z", "content": "thank you for sharing!
", "rawMarkdown": "thank you for sharing!" }, { "id": 1706401, "postDate": "2022-02-27T13:24:38.433Z", "content": "Thanks! I would try!!
", "rawMarkdown": "Thanks! I would try!!" }, { "id": 1706152, "postDate": "2022-02-27T08:54:05.150Z", "content": "thank you for sharing!
", "rawMarkdown": "thank you for sharing!" }, { "id": 1704633, "postDate": "2022-02-25T17:22:37.903Z", "content": "thank you for sharing!
", "rawMarkdown": "thank you for sharing!" }, { "id": 1698629, "postDate": "2022-02-20T14:42:19.647Z", "content": "thank you for sharing!
", "rawMarkdown": "thank you for sharing!" }, { "id": 1696355, "postDate": "2022-02-18T19:10:46.657Z", "content": "Hmm cool thanks
", "rawMarkdown": "Hmm cool thanks" }, { "id": 1689107, "postDate": "2022-02-14T03:34:12.420Z", "content": "thank you for sharing @maggiemd !
", "rawMarkdown": "thank you for sharing @maggiemd ! \n" }, { "id": 1688039, "postDate": "2022-02-13T10:41:55.727Z", "content": "thanks for sharing @maggiemd 🤩
", "rawMarkdown": "thanks for sharing @maggiemd 🤩" }, { "id": 1687264, "postDate": "2022-02-12T17:44:34.400Z", "content": "Thanks for sharing
", "rawMarkdown": "Thanks for sharing" }, { "id": 1685648, "postDate": "2022-02-11T12:53:18.827Z", "content": "Thanks for sharing
", "rawMarkdown": "Thanks for sharing" } ], "comments": [ { "id": 1690348, "author_name": "Sadia Sharmin", "author_url": "", "post_date": "2022-02-14T22:02:12.727000", "content": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.
", "votes": 1, "replies": [] }, { "id": 1709314, "author_name": "yunsongli", "author_url": "", "post_date": "2022-03-02T05:20:23.627000", "content": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.
", "votes": 2, "replies": [] }, { "id": 3076611, "author_name": "Lionel Lapidos", "author_url": "", "post_date": "2024-12-20T05:41:23.860000", "content": "This is a wonderful thread for those new to Kaggle.
", "votes": 0, "replies": [] }, { "id": 1758711, "author_name": "Moch Rifqi Rizal", "author_url": "", "post_date": "2022-04-18T02:11:57.450000", "content": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.
", "votes": 0, "replies": [] }, { "id": 1755225, "author_name": "Zhicheng Wang", "author_url": "", "post_date": "2022-04-14T12:33:01.183000", "content": "Oh! I was just thinking about how to make better use of Kaggle Notebook, thanks for you advice!
", "votes": 0, "replies": [] }, { "id": 1747485, "author_name": "Somira Shareef", "author_url": "", "post_date": "2022-04-06T17:19:45.420000", "content": "Hello,
\nThanks for creating the thread, new to ML and Data Science. Have a great journey everyone !
Thank you so much for creathing this thread. Bookmarked it!!
", "votes": 0, "replies": [] }, { "id": 1736552, "author_name": "akatihsoy19", "author_url": "", "post_date": "2022-03-27T12:49:48.407000", "content": "Thank you for sharing it.I'm going to try it on.
", "votes": 0, "replies": [] }, { "id": 1719671, "author_name": "Seiji Monta", "author_url": "", "post_date": "2022-03-12T01:17:59.673000", "content": "I have a question.
\nHow do I know the meaning of the column names in the data?
\nFor example, I want to know the meaning of \"FN\" in customers.csv.
Hi everyone, I'm new to kaggle/data science.
\nJust wondering, when you guys started working on the codes, you downloaded the whole thing?
\nor you used some kind of… reading through raw data (using the url)?
\nThank you for your attention.
\nEduardo
See this thread
\nhttps://www.kaggle.com/c/h-and-m-personalized-fashion-recommendations/discussion/307001
", "votes": 2, "replies": [] } ] }, { "id": 1702613, "author_name": "swapna kanduri", "author_url": "", "post_date": "2022-02-23T18:58:26.023000", "content": "Thank You Maggie for posting this, am new to machine learning and AI methods, would love to join the thread. Swapna Kanduri
", "votes": 0, "replies": [] }, { "id": 1700362, "author_name": "gunmetal", "author_url": "", "post_date": "2022-02-21T21:58:14.240000", "content": "first post! question - what does LB stand for. keep coming across this term but unsure what it stands for!
", "votes": 0, "replies": [ { "id": 1701731, "author_name": "Alan Pirotta", "author_url": "", "post_date": "2022-02-23T03:08:41.347000", "content": "I think it means LeaderBoards, the score of the competition
", "votes": 1, "replies": [] } ] }, { "id": 1699539, "author_name": "tonsuke", "author_url": "", "post_date": "2022-02-21T08:53:48.490000", "content": "This competition is my first time to participate in kaggle!
\nI will do my best to SUBMIT anyway, regardless of the rank.
\nThank you for making this thread!
Thanks for sharing! I'm fairly new to all this Machine Learning stuff, but I can't wait to learn more!
", "votes": 0, "replies": [] }, { "id": 1687243, "author_name": "Muhammad Ammar Jamshed", "author_url": "", "post_date": "2022-02-12T17:31:27.650000", "content": "Can you also explain in what competitions would we use Deep Learning algorithms vs Machine learning algorithms
", "votes": 0, "replies": [ { "id": 1706509, "author_name": "", "author_url": "", "post_date": "2022-02-27T14:26:46.170000", "content": "Bro it totally depends on the problem statement. Such as if you are doing a complex problem such as speech recognition or NLP then you should go with DL and if it the problem isn't that complex then you may go with ML. We should select the approach that best suites our problem and gives us desired results within the minimum time.
", "votes": 0, "replies": [] } ] }, { "id": 1686443, "author_name": "Sakethram Mamidala", "author_url": "", "post_date": "2022-02-12T04:30:36.683000", "content": "Im new to kaggle, Machine learning and Data Science. Please someone guide me through
", "votes": 0, "replies": [] }, { "id": 1685819, "author_name": "Md. Rasel Meya", "author_url": "", "post_date": "2022-02-11T15:03:27.833000", "content": "Thanks for sharing beutiful resources..it's really helpful for beginners.
", "votes": 0, "replies": [] }, { "id": 1755716, "author_name": "", "author_url": "", "post_date": "2022-04-14T22:19:52.747000", "content": "", "votes": 0, "replies": [] }, { "id": 1715534, "author_name": "", "author_url": "", "post_date": "2022-03-08T05:52:18.643000", "content": "", "votes": 0, "replies": [] }, { "id": 1690246, "author_name": "Justin Ghavami", "author_url": "", "post_date": "2022-02-14T20:08:10.033000", "content": "Thank you for sharing!
", "votes": 2, "replies": [] }, { "id": 1762989, "author_name": "JuliusFx", "author_url": "", "post_date": "2022-04-21T07:14:00.923000", "content": "Thanks for the thread
", "votes": 0, "replies": [] }, { "id": 1761720, "author_name": "Sophia Luo", "author_url": "", "post_date": "2022-04-20T05:35:31.567000", "content": "Thank you! This was super informative
", "votes": 0, "replies": [] }, { "id": 1738079, "author_name": "tiger Pan", "author_url": "", "post_date": "2022-03-29T02:15:29.140000", "content": "thank you very much for this thread!
", "votes": 0, "replies": [] }, { "id": 1737558, "author_name": "Patrick Dolan", "author_url": "", "post_date": "2022-03-28T14:29:48.217000", "content": "Thank you for the info!
", "votes": 0, "replies": [] }, { "id": 1728950, "author_name": "m00001", "author_url": "", "post_date": "2022-03-19T13:26:59.190000", "content": "Thank you for sharing!
", "votes": 0, "replies": [] }, { "id": 1712500, "author_name": "Felipe_Ahumada_Araya", "author_url": "", "post_date": "2022-03-05T02:12:49.547000", "content": "thank you for sharing!
", "votes": 0, "replies": [] }, { "id": 1706401, "author_name": "Shunsuke Yoshizawa", "author_url": "", "post_date": "2022-02-27T13:24:38.433000", "content": "Thanks! I would try!!
", "votes": 0, "replies": [] }, { "id": 1706152, "author_name": "Ashkan_bhz", "author_url": "", "post_date": "2022-02-27T08:54:05.150000", "content": "thank you for sharing!
", "votes": 0, "replies": [] }, { "id": 1704633, "author_name": "p00207", "author_url": "", "post_date": "2022-02-25T17:22:37.903000", "content": "thank you for sharing!
", "votes": 0, "replies": [] }, { "id": 1698629, "author_name": "", "author_url": "", "post_date": "2022-02-20T14:42:19.647000", "content": "", "votes": 0, "replies": [] }, { "id": 1696355, "author_name": "", "author_url": "", "post_date": "2022-02-18T19:10:46.657000", "content": "", "votes": 0, "replies": [] }, { "id": 1689107, "author_name": "", "author_url": "", "post_date": "2022-02-14T03:34:12.420000", "content": "", "votes": 0, "replies": [] }, { "id": 1688039, "author_name": "", "author_url": "", "post_date": "2022-02-13T10:41:55.727000", "content": "", "votes": 0, "replies": [] }, { "id": 1687264, "author_name": "", "author_url": "", "post_date": "2022-02-12T17:44:34.400000", "content": "", "votes": 0, "replies": [] }, { "id": 1685648, "author_name": "", "author_url": "", "post_date": "2022-02-11T12:53:18.827000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1680308": "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).", "1690348": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning. ", "1709314": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.\n\n", "3076611": "This is a wonderful thread for those new to Kaggle.", "1758711": "Hi Maggie, Thanks so much for creating this thread. I am new here and enjoying learning.", "1755225": "Oh! I was just thinking about how to make better use of Kaggle Notebook, thanks for you advice!", "1747485": "Hello,\nThanks for creating the thread, new to ML and Data Science. Have a great journey everyone !", "1740074": "Thank you so much for creathing this thread. Bookmarked it!!", "1736552": "Thank you for sharing it.I'm going to try it on.", "1719671": " I have a question.\nHow do I know the meaning of the column names in the data?\nFor example, I want to know the meaning of \"FN\" in customers.csv.", "1713323": "Hi everyone, I'm new to kaggle/data science.\nJust wondering, when you guys started working on the codes, you downloaded the whole thing?\nor you used some kind of... reading through raw data (using the url)?\nThank you for your attention.\nEduardo", "1702613": "Thank You Maggie for posting this, am new to machine learning and AI methods, would love to join the thread. Swapna Kanduri", "1700362": "first post! question - what does LB stand for. keep coming across this term but unsure what it stands for!", "1699539": "This competition is my first time to participate in kaggle!\nI will do my best to SUBMIT anyway, regardless of the rank.\nThank you for making this thread!", "1690281": "Thanks for sharing! I'm fairly new to all this Machine Learning stuff, but I can't wait to learn more!", "1687243": "Can you also explain in what competitions would we use Deep Learning algorithms vs Machine learning algorithms", "1686443": "Im new to kaggle, Machine learning and Data Science. Please someone guide me through", "1685819": "Thanks for sharing beutiful resources..it's really helpful for beginners. ", "1755716": "", "1715534": "", "1690246": "Thank you for sharing!", "1762989": "Thanks for the thread", "1761720": "Thank you! This was super informative ", "1738079": "thank you very much for this thread!", "1737558": "Thank you for the info!", "1728950": "Thank you for sharing!", "1712500": "thank you for sharing!", "1706401": "Thanks! I would try!!", "1706152": "thank you for sharing!", "1704633": "thank you for sharing!", "1698629": "thank you for sharing!", "1696355": "Hmm cool thanks", "1689107": "thank you for sharing @maggiemd ! \n", "1688039": "thanks for sharing @maggiemd 🤩", "1687264": "Thanks for sharing", "1685648": "Thanks for sharing" } }