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 to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
\nReady to dive into this competition? Review the Overview Description and start to work with the Data!
\n\n", "messages": [ { "id": 1132819, "postDate": "2020-12-30T17:51:03.427Z", "content": "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.
\n
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 to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
\nReady to dive into this competition? Review the Overview Description and start to work with the Data!
\n\n", "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 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).\n\nReady to dive into this competition? Review the [Overview Description](https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/overview) and start to work with the [Data](https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/data)!\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).", "votes": 26 }, { "id": 1193233, "postDate": "2021-02-09T14:28:33.867Z", "content": "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.
\n
This is my first project where real data is involved. So please guide what I need to start from, like what are the skills I must know to complete this project.
", "rawMarkdown": "This is my first project where real data is involved. So please guide what I need to start from, like what are the skills I must know to complete this project." }, { "id": 1133345, "postDate": "2020-12-31T06:09:02.273Z", "content": "I m new to kaggle and data science
", "rawMarkdown": "I m new to kaggle and data science ", "replies": [ { "id": 1137201, "postDate": "2021-01-03T18:48:17.600Z", "content": "You can start going through the courses provided by Kaggle in the Courses Section and you can also look into the discussion section to post your queries . @preetishukla @mohitjais312
", "rawMarkdown": "You can start going through the courses provided by Kaggle in the Courses Section and you can also look into the discussion section to post your queries . @preetishukla @mohitjais312 " } ] }, { "id": 1462430, "postDate": "2021-08-09T20:41:43.720Z", "content": "Hi ! I am new to Kaggle and trying to explore this competition and i am little confused about the values mentioned under Score within Leaderboard.
\nSo, are these MAP (Mean average precision) values of each model? or is this something else?
\nthank you.
Hello
\nI have some experience in python and I have followed an introduction course to machine learning
\nI would like to know what kind of course would help to work in this competition
\nThank you
I am new to Kaggle and data Science
", "rawMarkdown": "I am new to Kaggle and data Science" }, { "id": 1224676, "postDate": "2021-03-03T01:13:36.340Z", "content": "Thank you fro your advice ^^
", "rawMarkdown": "Thank you fro your advice ^^" } ], "comments": [ { "id": 1193233, "author_name": "the pursuit AR", "author_url": "", "post_date": "2021-02-09T14:28:33.867000", "content": "This is my first project where real data is involved. So please guide what I need to start from, like what are the skills I must know to complete this project.
", "votes": 0, "replies": [] }, { "id": 1133345, "author_name": "Preeti Shukla", "author_url": "", "post_date": "2020-12-31T06:09:02.273000", "content": "I m new to kaggle and data science
", "votes": 0, "replies": [ { "id": 1137201, "author_name": "Harsh Gupta", "author_url": "", "post_date": "2021-01-03T18:48:17.600000", "content": "You can start going through the courses provided by Kaggle in the Courses Section and you can also look into the discussion section to post your queries . @preetishukla @mohitjais312
", "votes": 0, "replies": [] } ] }, { "id": 1462430, "author_name": "Yasir Irfan", "author_url": "", "post_date": "2021-08-09T20:41:43.720000", "content": "Hi ! I am new to Kaggle and trying to explore this competition and i am little confused about the values mentioned under Score within Leaderboard.
\nSo, are these MAP (Mean average precision) values of each model? or is this something else?
\nthank you.
Hello
\nI have some experience in python and I have followed an introduction course to machine learning
\nI would like to know what kind of course would help to work in this competition
\nThank you
I am new to Kaggle and data Science
", "votes": 0, "replies": [] }, { "id": 1224676, "author_name": "Mohamed MARZOUGUI", "author_url": "", "post_date": "2021-03-03T01:13:36.340000", "content": "Thank you fro your advice ^^
", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1132819": "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 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).\n\nReady to dive into this competition? Review the [Overview Description](https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/overview) and start to work with the [Data](https://www.kaggle.com/c/vinbigdata-chest-xray-abnormalities-detection/data)!\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).", "1193233": "This is my first project where real data is involved. So please guide what I need to start from, like what are the skills I must know to complete this project.", "1133345": "I m new to kaggle and data science ", "1462430": "Hi ! I am new to Kaggle and trying to explore this competition and i am little confused about the values mentioned under Score within Leaderboard.\nSo, are these MAP (Mean average precision) values of each model? or is this something else?\nthank you.", "1204172": "Hello\nI have some experience in python and I have followed an introduction course to machine learning\nI would like to know what kind of course would help to work in this competition\nThank you\n", "1141990": "I am new to Kaggle and data Science", "1224676": "Thank you fro your advice ^^" } }