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": 2339572, "postDate": "2023-07-10T22:37:42.577Z", "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": 9 }, { "id": 2394132, "postDate": "2023-08-16T18:07:42.967Z", "content": "ok what do i do . i have done some amount of visualisation and modelling and stuff. i just dont know how to do a competition how do u keep increading the accuracy. how do u improve upon
", "rawMarkdown": "ok what do i do . i have done some amount of visualisation and modelling and stuff. i just dont know how to do a competition how do u keep increading the accuracy. how do u improve upon", "replies": [ { "id": 2396528, "postDate": "2023-08-18T10:11:46.897Z", "content": "ig if you have trained the model , you can imorve the model by fine tuning , hyperparameter tuning.
", "rawMarkdown": "ig if you have trained the model , you can imorve the model by fine tuning , hyperparameter tuning. " }, { "id": 2462481, "postDate": "2023-09-30T11:00:41.077Z", "content": "adding to @swayammeshram, run experiments, test new methods or techniques, research and repeat. Good luck! 🥰
", "rawMarkdown": "adding to @swayammeshram, run experiments, test new methods or techniques, research and repeat. Good luck! 🥰" } ] }, { "id": 2349833, "postDate": "2023-07-18T18:05:26.373Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 2394132, "author_name": "Jos Joe", "author_url": "", "post_date": "2023-08-16T18:07:42.967000", "content": "ok what do i do . i have done some amount of visualisation and modelling and stuff. i just dont know how to do a competition how do u keep increading the accuracy. how do u improve upon
", "votes": 0, "replies": [ { "id": 2396528, "author_name": "swayam meshram", "author_url": "", "post_date": "2023-08-18T10:11:46.897000", "content": "ig if you have trained the model , you can imorve the model by fine tuning , hyperparameter tuning.
", "votes": 0, "replies": [] }, { "id": 2462481, "author_name": "stas444", "author_url": "", "post_date": "2023-09-30T11:00:41.077000", "content": "adding to @swayammeshram, run experiments, test new methods or techniques, research and repeat. Good luck! 🥰
", "votes": 0, "replies": [] } ] }, { "id": 2349833, "author_name": "", "author_url": "", "post_date": "2023-07-18T18:05:26.373000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "2339572": "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).", "2394132": "ok what do i do . i have done some amount of visualisation and modelling and stuff. i just dont know how to do a competition how do u keep increading the accuracy. how do u improve upon", "2349833": "" } }