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.
\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.
\nHappy Modeling!
", "messages": [ { "id": 1466715, "postDate": "2021-08-11T15:28:01.630Z", "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.
\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.
\nHappy Modeling!
", "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).\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).\n\nHappy Modeling!", "votes": 5 }, { "id": 1469093, "postDate": "2021-08-12T17:53:32.123Z", "content": "Hi all,
\nGreetings from Turkey! If yo're new in Data Science, I have created Data Science Tutorials with Python. They are in structured format at Github.
\nCheck them out: https://github.com/berkayalan/Data-Science-Tutorials
", "rawMarkdown": "Hi all,\n\nGreetings from Turkey! If yo're new in Data Science, I have created Data Science Tutorials with Python. They are in structured format at Github.\n\nCheck them out: https://github.com/berkayalan/Data-Science-Tutorials", "votes": 2, "replies": [ { "id": 1482066, "postDate": "2021-08-19T21:09:27.507Z", "content": "Thanks for sharing the link
", "rawMarkdown": "Thanks for sharing the link" } ] }, { "id": 1485755, "postDate": "2021-08-22T11:53:03.560Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 1469093, "author_name": "Berkay Alan", "author_url": "", "post_date": "2021-08-12T17:53:32.123000", "content": "Hi all,
\nGreetings from Turkey! If yo're new in Data Science, I have created Data Science Tutorials with Python. They are in structured format at Github.
\nCheck them out: https://github.com/berkayalan/Data-Science-Tutorials
", "votes": 2, "replies": [ { "id": 1482066, "author_name": "Thierry Taguela", "author_url": "", "post_date": "2021-08-19T21:09:27.507000", "content": "Thanks for sharing the link
", "votes": 0, "replies": [] } ] }, { "id": 1485755, "author_name": "", "author_url": "", "post_date": "2021-08-22T11:53:03.560000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1466715": "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).\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).\n\nHappy Modeling!", "1469093": "Hi all,\n\nGreetings from Turkey! If yo're new in Data Science, I have created Data Science Tutorials with Python. They are in structured format at Github.\n\nCheck them out: https://github.com/berkayalan/Data-Science-Tutorials", "1485755": "" } }