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": 958656, "postDate": "2020-08-05T05:26:03.173Z", "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": 13 }, { "id": 1067983, "postDate": "2020-11-03T00:06:24.833Z", "content": "Thanks for the post @maggiemd , found it helpful!
", "rawMarkdown": "Thanks for the post @maggiemd , found it helpful!" }, { "id": 1007493, "postDate": "2020-09-12T07:57:15.303Z", "content": "I have a notebook I write about this topic.Maybe it can help new friends
\nhttps://www.kaggle.com/omercansvgn/machine-learning-tutorial-for-beginners
\nGood Day !
", "rawMarkdown": "I have a notebook I write about this topic.Maybe it can help new friends\n\nhttps://www.kaggle.com/omercansvgn/machine-learning-tutorial-for-beginners\n\nGood Day !" }, { "id": 962688, "postDate": "2020-08-08T10:54:20.790Z", "content": "Thank you very much! The linked videos really helped.
", "rawMarkdown": "Thank you very much! The linked videos really helped. " }, { "id": 959598, "postDate": "2020-08-05T18:26:34.550Z", "rawMarkdown": "", "isDeleted": true }, { "id": 1037462, "postDate": "2020-10-05T03:50:55.797Z", "content": "Thanks for the post!
", "rawMarkdown": "Thanks for the post!", "votes": 1 }, { "id": 1093975, "postDate": "2020-11-28T07:28:51.797Z", "content": "Thanks to this, I became confident :)
", "rawMarkdown": "\nThanks to this, I became confident :)" }, { "id": 1084886, "postDate": "2020-11-20T13:42:12.660Z", "content": "Thanks for the post @maggiemd !!
", "rawMarkdown": "Thanks for the post @maggiemd !!" }, { "id": 1038492, "postDate": "2020-10-05T20:28:13.693Z", "content": "Thanks for the post a lot!
", "rawMarkdown": "Thanks for the post a lot!" }, { "id": 1005491, "postDate": "2020-09-10T14:33:08.490Z", "content": "Thank you….
", "rawMarkdown": "Thank you...." }, { "id": 968138, "postDate": "2020-08-12T18:09:43.520Z", "content": "Thank you for the post.
", "rawMarkdown": "Thank you for the post." }, { "id": 967775, "postDate": "2020-08-12T13:54:49.673Z", "content": "Thank you…
", "rawMarkdown": "Thank you..." }, { "id": 964891, "postDate": "2020-08-10T08:42:39.413Z", "content": "Thank you
", "rawMarkdown": "Thank you\n" }, { "id": 964579, "postDate": "2020-08-10T02:58:37.057Z", "content": "Thank you!
", "rawMarkdown": "Thank you! " } ], "comments": [ { "id": 1067983, "author_name": "Kal Vuppamandla", "author_url": "", "post_date": "2020-11-03T00:06:24.833000", "content": "Thanks for the post @maggiemd , found it helpful!
", "votes": 0, "replies": [] }, { "id": 1007493, "author_name": "Ömercan Savgan", "author_url": "", "post_date": "2020-09-12T07:57:15.303000", "content": "I have a notebook I write about this topic.Maybe it can help new friends
\nhttps://www.kaggle.com/omercansvgn/machine-learning-tutorial-for-beginners
\nGood Day !
", "votes": 0, "replies": [] }, { "id": 962688, "author_name": "Amrita Chatterjee", "author_url": "", "post_date": "2020-08-08T10:54:20.790000", "content": "Thank you very much! The linked videos really helped.
", "votes": 0, "replies": [] }, { "id": 959598, "author_name": "", "author_url": "", "post_date": "2020-08-05T18:26:34.550000", "content": "", "votes": 0, "replies": [] }, { "id": 1037462, "author_name": "Edmar Miyake", "author_url": "", "post_date": "2020-10-05T03:50:55.797000", "content": "Thanks for the post!
", "votes": 1, "replies": [] }, { "id": 1093975, "author_name": "Seunghun Shin", "author_url": "", "post_date": "2020-11-28T07:28:51.797000", "content": "Thanks to this, I became confident :)
", "votes": 0, "replies": [] }, { "id": 1084886, "author_name": "Sanjeet K", "author_url": "", "post_date": "2020-11-20T13:42:12.660000", "content": "Thanks for the post @maggiemd !!
", "votes": 0, "replies": [] }, { "id": 1038492, "author_name": "Maksim Tingaev", "author_url": "", "post_date": "2020-10-05T20:28:13.693000", "content": "Thanks for the post a lot!
", "votes": 0, "replies": [] }, { "id": 1005491, "author_name": "Chaoyang Zheng", "author_url": "", "post_date": "2020-09-10T14:33:08.490000", "content": "Thank you….
", "votes": 0, "replies": [] }, { "id": 968138, "author_name": "aCode", "author_url": "", "post_date": "2020-08-12T18:09:43.520000", "content": "Thank you for the post.
", "votes": 0, "replies": [] }, { "id": 967775, "author_name": "Dimas Wihandono", "author_url": "", "post_date": "2020-08-12T13:54:49.673000", "content": "Thank you…
", "votes": 0, "replies": [] }, { "id": 964891, "author_name": "AravindSKumar", "author_url": "", "post_date": "2020-08-10T08:42:39.413000", "content": "Thank you
", "votes": 0, "replies": [] }, { "id": 964579, "author_name": "Rannier Salles de Almeida", "author_url": "", "post_date": "2020-08-10T02:58:37.057000", "content": "Thank you!
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "958656": "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).", "1067983": "Thanks for the post @maggiemd , found it helpful!", "1007493": "I have a notebook I write about this topic.Maybe it can help new friends\n\nhttps://www.kaggle.com/omercansvgn/machine-learning-tutorial-for-beginners\n\nGood Day !", "962688": "Thank you very much! The linked videos really helped. ", "959598": "", "1037462": "Thanks for the post!", "1093975": "\nThanks to this, I became confident :)", "1084886": "Thanks for the post @maggiemd !!", "1038492": "Thanks for the post a lot!", "1005491": "Thank you....", "968138": "Thank you for the post.", "967775": "Thank you...", "964891": "Thank you\n", "964579": "Thank you! " } }