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 Dr. Rachael Tatman has put together to learn a bit more about site etiquette, or Kaggle lingo.
\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.
\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable the publishing of public notebooks within the final week of the competition, but encourage you to use your best judgement for time prior to that.
\nHappy Modeling!
", "messages": [ { "id": 1692040, "postDate": "2022-02-15T18:54:13.570Z", "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 Dr. Rachael Tatman has put together to learn a bit more about site etiquette, or Kaggle lingo.
\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.
\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until after the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable the publishing of public notebooks within the final week of the competition, but encourage you to use your best judgement for time prior to that.
\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 Dr. Rachael Tatman has put together to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), or [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s).\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\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until *after* the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable the publishing of public notebooks within the final week of the competition, but encourage you to use your best judgement for time prior to that.\n\nHappy Modeling!", "votes": 16 }, { "id": 1792273, "postDate": "2022-05-16T19:32:38.967Z", "content": "Trying to learn
", "rawMarkdown": "Trying to learn" }, { "id": 1791509, "postDate": "2022-05-16T05:04:19.153Z", "content": "Hello All, I am new to Kaggle. I am learning Python. I wish to give my 200% to solve this competition. I will be asking lots of doubts on the way. Hope get guidance from you all. :)
", "rawMarkdown": "Hello All, I am new to Kaggle. I am learning Python. I wish to give my 200% to solve this competition. I will be asking lots of doubts on the way. Hope get guidance from you all. :) " }, { "id": 1751086, "postDate": "2022-04-10T10:58:11.080Z", "content": "Hello everyone, my major is data science and big data technology. Here, I will start my king's journey.
", "rawMarkdown": "Hello everyone, my major is data science and big data technology. Here, I will start my king's journey." }, { "id": 1750047, "postDate": "2022-04-09T09:09:08.297Z", "content": "Hello everyone, I have been working in the data science domain for the past 3 years. I have come to Kaggle to improve my existing skills and learn from the data community here. I hope my journey here will increase my knowledge.
", "rawMarkdown": "Hello everyone, I have been working in the data science domain for the past 3 years. I have come to Kaggle to improve my existing skills and learn from the data community here. I hope my journey here will increase my knowledge." }, { "id": 1727673, "postDate": "2022-03-18T07:02:24.837Z", "content": "Hi people! I'm new to the platform but I am eager to get to know more about it and about the community. I'm focusing on data analysis and mostly practicing my Pandas skills for school :p. Also, if you have any additional resources for learning ML, please give me some guidance ~w~. Other than that, I hope I can improve my skills over time. Wish me luck!
", "rawMarkdown": "Hi people! I'm new to the platform but I am eager to get to know more about it and about the community. I'm focusing on data analysis and mostly practicing my Pandas skills for school :p. Also, if you have any additional resources for learning ML, please give me some guidance ~w~. Other than that, I hope I can improve my skills over time. Wish me luck!" }, { "id": 1727313, "postDate": "2022-03-17T21:22:15.177Z", "content": "Hi, everyone.
\nA soon-to-be Machine Learning Engineer, this is my very first Kaggle competition. I am honoured to share this space with you all.
\nThanks to you all.
", "rawMarkdown": "Hi, everyone.\n\nA soon-to-be Machine Learning Engineer, this is my very first Kaggle competition. I am honoured to share this space with you all. \n\nThanks to you all." }, { "id": 1721804, "postDate": "2022-03-14T03:22:37.943Z", "content": "Hey a machine learning, kaggle and python newbie here. Started learning dev at 35 even though I ran tech companies all my life. I am taking @jhoward 's FastAI course and this is my first ML competition on Kaggle!
\nBeing data driven and always approaching data from a business / outside in perspective all my life, I am hoping these skills help me in the next phase of my passion (ML).
\nTo all the contributors on the forum sharing their code, thanks a lot. You have no idea how much it helps a newbie like me.
", "rawMarkdown": "Hey a machine learning, kaggle and python newbie here. Started learning dev at 35 even though I ran tech companies all my life. I am taking @jhoward 's FastAI course and this is my first ML competition on Kaggle!\n\nBeing data driven and always approaching data from a business / outside in perspective all my life, I am hoping these skills help me in the next phase of my passion (ML).\n\nTo all the contributors on the forum sharing their code, thanks a lot. You have no idea how much it helps a newbie like me." }, { "id": 1753672, "postDate": "2022-04-13T02:48:09.673Z", "rawMarkdown": "", "isDeleted": true } ], "comments": [ { "id": 1792273, "author_name": "SAVE", "author_url": "", "post_date": "2022-05-16T19:32:38.967000", "content": "Trying to learn
", "votes": 0, "replies": [] }, { "id": 1791509, "author_name": "Shruti Marathe", "author_url": "", "post_date": "2022-05-16T05:04:19.153000", "content": "Hello All, I am new to Kaggle. I am learning Python. I wish to give my 200% to solve this competition. I will be asking lots of doubts on the way. Hope get guidance from you all. :)
", "votes": 0, "replies": [] }, { "id": 1751086, "author_name": "Jackson You", "author_url": "", "post_date": "2022-04-10T10:58:11.080000", "content": "Hello everyone, my major is data science and big data technology. Here, I will start my king's journey.
", "votes": 0, "replies": [] }, { "id": 1750047, "author_name": "Saif Khan", "author_url": "", "post_date": "2022-04-09T09:09:08.297000", "content": "Hello everyone, I have been working in the data science domain for the past 3 years. I have come to Kaggle to improve my existing skills and learn from the data community here. I hope my journey here will increase my knowledge.
", "votes": 0, "replies": [] }, { "id": 1727673, "author_name": "daniel tamez gil", "author_url": "", "post_date": "2022-03-18T07:02:24.837000", "content": "Hi people! I'm new to the platform but I am eager to get to know more about it and about the community. I'm focusing on data analysis and mostly practicing my Pandas skills for school :p. Also, if you have any additional resources for learning ML, please give me some guidance ~w~. Other than that, I hope I can improve my skills over time. Wish me luck!
", "votes": 0, "replies": [] }, { "id": 1727313, "author_name": "Johnny Torres", "author_url": "", "post_date": "2022-03-17T21:22:15.177000", "content": "Hi, everyone.
\nA soon-to-be Machine Learning Engineer, this is my very first Kaggle competition. I am honoured to share this space with you all.
\nThanks to you all.
", "votes": 0, "replies": [] }, { "id": 1721804, "author_name": "Hadi Curtay", "author_url": "", "post_date": "2022-03-14T03:22:37.943000", "content": "Hey a machine learning, kaggle and python newbie here. Started learning dev at 35 even though I ran tech companies all my life. I am taking @jhoward 's FastAI course and this is my first ML competition on Kaggle!
\nBeing data driven and always approaching data from a business / outside in perspective all my life, I am hoping these skills help me in the next phase of my passion (ML).
\nTo all the contributors on the forum sharing their code, thanks a lot. You have no idea how much it helps a newbie like me.
", "votes": 0, "replies": [] }, { "id": 1753672, "author_name": "", "author_url": "", "post_date": "2022-04-13T02:48:09.673000", "content": "", "votes": 0, "replies": [] } ], "raw_markdown_by_id": { "1692040": "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 Dr. Rachael Tatman has put together to learn a bit more about [site etiquette](https://www.youtube.com/watch?v=aIus8si_Et0), or [Kaggle lingo](https://www.youtube.com/watch?v=sEJHyuWKd-s).\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\nA tip on sharing content - Kaggle is a collaborative community, whereby sharing techniques, starter notebooks, and ideas in the discussion forums are highly encouraged throughout the competition. However, as the competition draws closer to the final deadline it's customary to keep high-scoring notebooks withheld until *after* the competition has concluded. This maintains the spirit of the competition, while also allowing individuals to submit their own creative work without jeopardy of a higher-scoring notebook being available for an automatic higher rank (through copy/submit). We disable the publishing of public notebooks within the final week of the competition, but encourage you to use your best judgement for time prior to that.\n\nHappy Modeling!", "1792273": "Trying to learn", "1791509": "Hello All, I am new to Kaggle. I am learning Python. I wish to give my 200% to solve this competition. I will be asking lots of doubts on the way. Hope get guidance from you all. :) ", "1751086": "Hello everyone, my major is data science and big data technology. Here, I will start my king's journey.", "1750047": "Hello everyone, I have been working in the data science domain for the past 3 years. I have come to Kaggle to improve my existing skills and learn from the data community here. I hope my journey here will increase my knowledge.", "1727673": "Hi people! I'm new to the platform but I am eager to get to know more about it and about the community. I'm focusing on data analysis and mostly practicing my Pandas skills for school :p. Also, if you have any additional resources for learning ML, please give me some guidance ~w~. Other than that, I hope I can improve my skills over time. Wish me luck!", "1727313": "Hi, everyone.\n\nA soon-to-be Machine Learning Engineer, this is my very first Kaggle competition. I am honoured to share this space with you all. \n\nThanks to you all.", "1721804": "Hey a machine learning, kaggle and python newbie here. Started learning dev at 35 even though I ran tech companies all my life. I am taking @jhoward 's FastAI course and this is my first ML competition on Kaggle!\n\nBeing data driven and always approaching data from a business / outside in perspective all my life, I am hoping these skills help me in the next phase of my passion (ML).\n\nTo all the contributors on the forum sharing their code, thanks a lot. You have no idea how much it helps a newbie like me.", "1753672": "" } }