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 publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.
", "messages": [ { "id": "2132440", "postDate": "02/06/2023 20:36:55", "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 publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.
", "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\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](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 publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.", "votes": null }, { "id": "2147221", "postDate": "02/16/2023 13:34:48", "content": "Can someone help me understand the checkpoints, sessions, \"18 questions per session\", level groups in a simple way
", "rawMarkdown": "Can someone help me understand the checkpoints, sessions, \"18 questions per session\", level groups in a simple way", "votes": null }, { "id": "2168237", "postDate": "03/04/2023 03:26:37", "content": "I'm happy to be here, I recently bought The Kaggle Book that motivated me so much, so here I am on my first competition 👋
", "rawMarkdown": "I'm happy to be here, I recently bought [The Kaggle Book](https://www.amazon.com/dp/1801817472?psc=1&ref=ppx_yo2ov_dt_b_product_details) that motivated me so much, so here I am on my first competition 👋", "votes": null }, { "id": "2199171", "postDate": "03/27/2023 14:50:19", "content": "I'm happy excited and happy to participate
", "rawMarkdown": "I'm happy excited and happy to participate", "votes": null }, { "id": "2217685", "postDate": "04/11/2023 05:12:55", "content": "It's a pleasure to be here, and I'm going to use this competition as a starting point to learn ML as hard as I can.
", "rawMarkdown": "It's a pleasure to be here, and I'm going to use this competition as a starting point to learn ML as hard as I can.", "votes": null }, { "id": "2220650", "postDate": "04/13/2023 15:18:50", "content": "Hello everyone!
\nI am new to this platform and coding. Currently i am only able to some coding in R as i have done only 2 projects about predictions using some basic models (trees, RF, arima, ridge, lasso) and now i am training my skills.
\nSince i mostly see python code, I was wondering if the dataset on this competition is a good one to predict on R or if it is too difficult for a newcomer as me?
\nThank you for any advice that you can give!
Hello, @maggiemd .
\nI am new to Kaggle and machine learning in general.
\nI noticed that in this competition ,\"This competition uses the Kaggle's time series API. \"
\nhttps://www.kaggle.com/competitions/predict-student-performance-from-game-play/data
\nBut I could not find out the documentation of the API.
\nI read some Codes which uses the API getting data using iter_test from object \"make_env\"ed.
\nThe only official doc I could was a demo below.
\nhttps://www.kaggle.com/code/philculliton/basic-submission-demo
\nShould I guess the usage of the API from these Codes? Or is there any documentation about the API?
I posted my question as new topic in Discussion.
", "rawMarkdown": "I posted my question as new topic in Discussion.", "votes": null }, { "id": "2227263", "postDate": "04/19/2023 15:58:40", "content": "How to use APIs like reddit API, for create like RedditGPT ?
", "rawMarkdown": "How to use APIs like reddit API, for create like RedditGPT ?", "votes": null }, { "id": "2230489", "postDate": "04/22/2023 12:14:26", "content": "I am new to kaggle. This dataset is large and feels hard to read!
", "rawMarkdown": "I am new to kaggle. This dataset is large and feels hard to read!", "votes": null }, { "id": "2234517", "postDate": "04/25/2023 09:03:14", "content": "I have the same issue. My RAM dies very shortly after I read the training data. I moved away from Kaggle notebooks and started working on in locally. I do think there's a solution to use n notebooks but not quiet sure yet.
", "rawMarkdown": "I have the same issue. My RAM dies very shortly after I read the training data. I moved away from Kaggle notebooks and started working on in locally. I do think there's a solution to use n notebooks but not quiet sure yet.", "votes": null }, { "id": "2255990", "postDate": "05/12/2023 07:19:30", "content": "It's a pleasure to be here. Even if it takes a long time, I will continue to learn ML with kaggle!
", "rawMarkdown": "It's a pleasure to be here. Even if it takes a long time, I will continue to learn ML with kaggle!", "votes": null }, { "id": "2264799", "postDate": "05/18/2023 18:15:21", "content": "I'll answer based on my understanding. Crt me if i am wrong, there are multiple sessions a session is a game play. Inside a session a player/user will undergoes several questions, in the dataset we have 18 questions in a session. These 18 questions are based on their difficulties/levels. There are mainly three difficulty levels 0-4,5-12 & 13-22. As stated in the problem statement we have to predict whether user will answer a particular question correctly or not on a session linearly that is from level 0-22. That states it is a time series problem. Hope this helps
", "rawMarkdown": "I'll answer based on my understanding. Crt me if i am wrong, there are multiple sessions a session is a game play. Inside a session a player/user will undergoes several questions, in the dataset we have 18 questions in a session. These 18 questions are based on their difficulties/levels. There are mainly three difficulty levels 0-4,5-12 & 13-22. As stated in the problem statement we have to predict whether user will answer a particular question correctly or not on a session linearly that is from level 0-22. That states it is a time series problem. Hope this helps", "votes": null }, { "id": "2270767", "postDate": "05/23/2023 11:53:34", "content": "Hey i am starting with Kaggle, lets learn in this competition
", "rawMarkdown": "Hey i am starting with Kaggle, lets learn in this competition", "votes": null } ], "comments": [ { "id": 2147221, "author_name": "ayushsengar999", "author_url": "", "post_date": "02/16/2023 13:34:48", "content": "Can someone help me understand the checkpoints, sessions, \"18 questions per session\", level groups in a simple way
", "votes": null, "replies": [ { "id": 2264799, "author_name": "krooz0", "author_url": "", "post_date": "05/18/2023 18:15:21", "content": "I'll answer based on my understanding. Crt me if i am wrong, there are multiple sessions a session is a game play. Inside a session a player/user will undergoes several questions, in the dataset we have 18 questions in a session. These 18 questions are based on their difficulties/levels. There are mainly three difficulty levels 0-4,5-12 & 13-22. As stated in the problem statement we have to predict whether user will answer a particular question correctly or not on a session linearly that is from level 0-22. That states it is a time series problem. Hope this helps
", "votes": null, "replies": [] } ] }, { "id": 2168237, "author_name": "javihm77", "author_url": "", "post_date": "03/04/2023 03:26:37", "content": "I'm happy to be here, I recently bought The Kaggle Book that motivated me so much, so here I am on my first competition 👋
", "votes": null, "replies": [] }, { "id": 2199171, "author_name": "sapnatare", "author_url": "", "post_date": "03/27/2023 14:50:19", "content": "I'm happy excited and happy to participate
", "votes": null, "replies": [] }, { "id": 2217685, "author_name": "joshuaburgin", "author_url": "", "post_date": "04/11/2023 05:12:55", "content": "It's a pleasure to be here, and I'm going to use this competition as a starting point to learn ML as hard as I can.
", "votes": null, "replies": [] }, { "id": 2220650, "author_name": "josemariaferreira", "author_url": "", "post_date": "04/13/2023 15:18:50", "content": "Hello everyone!
\nI am new to this platform and coding. Currently i am only able to some coding in R as i have done only 2 projects about predictions using some basic models (trees, RF, arima, ridge, lasso) and now i am training my skills.
\nSince i mostly see python code, I was wondering if the dataset on this competition is a good one to predict on R or if it is too difficult for a newcomer as me?
\nThank you for any advice that you can give!
Hello, @maggiemd .
\nI am new to Kaggle and machine learning in general.
\nI noticed that in this competition ,\"This competition uses the Kaggle's time series API. \"
\nhttps://www.kaggle.com/competitions/predict-student-performance-from-game-play/data
\nBut I could not find out the documentation of the API.
\nI read some Codes which uses the API getting data using iter_test from object \"make_env\"ed.
\nThe only official doc I could was a demo below.
\nhttps://www.kaggle.com/code/philculliton/basic-submission-demo
\nShould I guess the usage of the API from these Codes? Or is there any documentation about the API?
I posted my question as new topic in Discussion.
", "votes": null, "replies": [] } ] }, { "id": 2227263, "author_name": "vinayak121", "author_url": "", "post_date": "04/19/2023 15:58:40", "content": "How to use APIs like reddit API, for create like RedditGPT ?
", "votes": null, "replies": [] }, { "id": 2230489, "author_name": "shimazutomoki", "author_url": "", "post_date": "04/22/2023 12:14:26", "content": "I am new to kaggle. This dataset is large and feels hard to read!
", "votes": null, "replies": [ { "id": 2234517, "author_name": "richardpinter", "author_url": "", "post_date": "04/25/2023 09:03:14", "content": "I have the same issue. My RAM dies very shortly after I read the training data. I moved away from Kaggle notebooks and started working on in locally. I do think there's a solution to use n notebooks but not quiet sure yet.
", "votes": null, "replies": [] } ] }, { "id": 2255990, "author_name": "driftx13", "author_url": "", "post_date": "05/12/2023 07:19:30", "content": "It's a pleasure to be here. Even if it takes a long time, I will continue to learn ML with kaggle!
", "votes": null, "replies": [] }, { "id": 2270767, "author_name": "miguelmontesdeoca", "author_url": "", "post_date": "05/23/2023 11:53:34", "content": "Hey i am starting with Kaggle, lets learn in this competition
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "2132440": "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\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](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 publishing of public notebooks within the final week of the competition, but encourage you to use your best judgment prior to that deadline.", "2147221": "Can someone help me understand the checkpoints, sessions, \"18 questions per session\", level groups in a simple way", "2168237": "I'm happy to be here, I recently bought [The Kaggle Book](https://www.amazon.com/dp/1801817472?psc=1&ref=ppx_yo2ov_dt_b_product_details) that motivated me so much, so here I am on my first competition 👋", "2199171": "I'm happy excited and happy to participate", "2217685": "It's a pleasure to be here, and I'm going to use this competition as a starting point to learn ML as hard as I can.", "2220650": "Hello everyone!\nI am new to this platform and coding. Currently i am only able to some coding in R as i have done only 2 projects about predictions using some basic models (trees, RF, arima, ridge, lasso) and now i am training my skills.\nSince i mostly see python code, I was wondering if the dataset on this competition is a good one to predict on R or if it is too difficult for a newcomer as me? \nThank you for any advice that you can give!", "2224275": "Hello, @maggiemd .\nI am new to Kaggle and machine learning in general.\nI noticed that in this competition ,\"This competition uses the Kaggle's time series API. \"\nhttps://www.kaggle.com/competitions/predict-student-performance-from-game-play/data\nBut I could not find out the documentation of the API.\nI read some Codes which uses the API getting data using iter_test from object \"make_env\"ed.\nThe only official doc I could was a demo below.\nhttps://www.kaggle.com/code/philculliton/basic-submission-demo\nShould I guess the usage of the API from these Codes? Or is there any documentation about the API?", "2225524": "I posted my question as new topic in Discussion.", "2227263": "How to use APIs like reddit API, for create like RedditGPT ?", "2230489": "I am new to kaggle. This dataset is large and feels hard to read!", "2234517": "I have the same issue. My RAM dies very shortly after I read the training data. I moved away from Kaggle notebooks and started working on in locally. I do think there's a solution to use n notebooks but not quiet sure yet.", "2255990": "It's a pleasure to be here. Even if it takes a long time, I will continue to learn ML with kaggle!", "2264799": "I'll answer based on my understanding. Crt me if i am wrong, there are multiple sessions a session is a game play. Inside a session a player/user will undergoes several questions, in the dataset we have 18 questions in a session. These 18 questions are based on their difficulties/levels. There are mainly three difficulty levels 0-4,5-12 & 13-22. As stated in the problem statement we have to predict whether user will answer a particular question correctly or not on a session linearly that is from level 0-22. That states it is a time series problem. Hope this helps", "2270767": "Hey i am starting with Kaggle, lets learn in this competition" }, "source": "meta" }