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.
\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.
", "messages": [ { "id": "2419311", "postDate": "09/01/2023 22:58:59", "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 to learn a bit more about site etiquette, Kaggle lingo, and how to enter a competition using Kaggle Notebooks.
\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.
", "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\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": null }, { "id": "2783212", "postDate": "04/29/2024 16:12:53", "content": "thank you
", "rawMarkdown": "thank you", "votes": null }, { "id": "2805361", "postDate": "05/10/2024 14:11:28", "content": "I have a question Could you please answer How i suppose to arragne all this data There is a lot a cofusion for me I do not understand representation of the data although i try my hard could you please tell me about how i represent these data and get the features and targets values separate There is a lot of files i do not understand Where to start and How to get these realted values feauters(measurements) and target (goal of prediction)
\nAnd also i am undergraduate Student
thank you
", "votes": null, "replies": [] }, { "id": 2805361, "author_name": "", "author_url": "", "post_date": "05/10/2024 14:11:28", "content": "I have a question Could you please answer How i suppose to arragne all this data There is a lot a cofusion for me I do not understand representation of the data although i try my hard could you please tell me about how i represent these data and get the features and targets values separate There is a lot of files i do not understand Where to start and How to get these realted values feauters(measurements) and target (goal of prediction)
\nAnd also i am undergraduate Student