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": 1174842, "postDate": "2021-01-28T18:41:06.423Z", "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/indoor-location-navigation/overview) and start to work with the [Data](https://www.kaggle.com/c/indoor-location-navigation/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": 12 }, { "id": 1260281, "postDate": "2021-04-02T01:57:09.083Z", "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
Thanks,There is still no clear direction to do it.
", "rawMarkdown": "Thanks,There is still no clear direction to do it.", "votes": 1 }, { "id": 1244563, "postDate": "2021-03-19T04:30:59.253Z", "content": "i have no idea how this work???
", "rawMarkdown": "i have no idea how this work???", "votes": 1 }, { "id": 1177070, "postDate": "2021-01-30T02:57:09.200Z", "content": "Hi, thanks for this post.
\nI am a newbie and need to ask: I need to extract important lines out of any technical spec document of a product. Is it possible to use any existing models or would I have to create a new model and train it?
\nBTW, technical spec doc is a document having technical details of any change in new/existing behaviour of a product which a developer creates. QA usually reads this tech spec to create test cases to validate the change.
\nYour help is really appreciated!
Thanks,There is still no clear direction to do it.
", "votes": 1, "replies": [] }, { "id": 1244563, "author_name": "Sunny Rathod", "author_url": "", "post_date": "2021-03-19T04:30:59.253000", "content": "i have no idea how this work???
", "votes": 1, "replies": [] }, { "id": 1177070, "author_name": "Nidhi Bhushan", "author_url": "", "post_date": "2021-01-30T02:57:09.200000", "content": "Hi, thanks for this post.
\nI am a newbie and need to ask: I need to extract important lines out of any technical spec document of a product. Is it possible to use any existing models or would I have to create a new model and train it?
\nBTW, technical spec doc is a document having technical details of any change in new/existing behaviour of a product which a developer creates. QA usually reads this tech spec to create test cases to validate the change.
\nYour help is really appreciated!