This compeition was great in terms of learning. I already knew that as a beginner in ML I am not going to secure some significant position on the leaderboard. But what I saw was the opportunity to learn and help others.
\nI was introcuded with new technologies and libraries like Dask, Vaex, HDF5, and Parquet.
\nMy Notebooks
\nLarge Dataset - CSV - DASK - Parquet Notebook with 44 Upvotes and 63 Forks
\nAMEX Prediction - Starter Notebook with 24 Upvotes and 43 Forks
\nLearn to Reduce Dataset Size Notebook with 12 Upvotes and 6 Forks
\nVaex - The Byte Cruncher Notebook with 12 Upvotes and 1 Fork
My Datasets
\nAMEX Prediction - Starter - Level 1
\nAMEX Prediction - Starter - Level 2
\nAMEX HDF5 - Last Statement - Train Only
\nAMEX HDF5 for Vaex
I feel happy and motivated to particpate in next competition.
", "messages": [ { "id": "1916379", "postDate": "08/27/2022 20:11:04", "content": "This compeition was great in terms of learning. I already knew that as a beginner in ML I am not going to secure some significant position on the leaderboard. But what I saw was the opportunity to learn and help others.
\nI was introcuded with new technologies and libraries like Dask, Vaex, HDF5, and Parquet.
\nMy Notebooks
\nLarge Dataset - CSV - DASK - Parquet Notebook with 44 Upvotes and 63 Forks
\nAMEX Prediction - Starter Notebook with 24 Upvotes and 43 Forks
\nLearn to Reduce Dataset Size Notebook with 12 Upvotes and 6 Forks
\nVaex - The Byte Cruncher Notebook with 12 Upvotes and 1 Fork
My Datasets
\nAMEX Prediction - Starter - Level 1
\nAMEX Prediction - Starter - Level 2
\nAMEX HDF5 - Last Statement - Train Only
\nAMEX HDF5 for Vaex
I feel happy and motivated to particpate in next competition.
", "rawMarkdown": "This compeition was great in terms of learning. I already knew that as a beginner in ML I am not going to secure some significant position on the leaderboard. But what I saw was the opportunity to learn and help others.\n\nI was introcuded with new technologies and libraries like Dask, Vaex, HDF5, and Parquet.\n\n**My Notebooks**\n\nLarge Dataset - CSV - DASK - Parquet Notebook with 44 Upvotes and 63 Forks\nAMEX Prediction - Starter Notebook with 24 Upvotes and 43 Forks\nLearn to Reduce Dataset Size Notebook with 12 Upvotes and 6 Forks\nVaex - The Byte Cruncher Notebook with 12 Upvotes and 1 Fork\n\n**My Datasets**\n\nAMEX Prediction - Starter - Level 1\nAMEX Prediction - Starter - Level 2\nAMEX HDF5 - Last Statement - Train Only\nAMEX HDF5 for Vaex\n\nI feel happy and motivated to particpate in next competition.", "votes": null }, { "id": "1916392", "postDate": "08/27/2022 20:43:23", "content": "@mirfanazam I think this competition was a great learning experience for all participants and regardless of leaderboard position, our positive learning experience and knowledge gain makes everyone a winner!
\nI plan to revisit the shortcomings in my approach and perhaps work on the successful approaches from competition toppers. I hope to learn a lot of new modelling techniques thereby and augment my knowledge.
", "rawMarkdown": "mirfanazam I think this competition was a great learning experience for all participants and regardless of leaderboard position, our positive learning experience and knowledge gain makes everyone a winner! \n\nI plan to revisit the shortcomings in my approach and perhaps work on the successful approaches from competition toppers. I hope to learn a lot of new modelling techniques thereby and augment my knowledge.", "votes": null }, { "id": "1921639", "postDate": "09/01/2022 01:10:02", "content": "Hi @mirfanazam May I invite you to participate in this survey regarding your experience on Kaggle (10 min)? This is not a scam. We are a group of researchers at the City University of Hong Kong. The survey link is: https://cityuhk.questionpro.com/survey-of-kaggle-contestants
", "rawMarkdown": "Hi @mirfanazam May I invite you to participate in this survey regarding your experience on Kaggle (10 min)? This is not a scam. We are a group of researchers at the City University of Hong Kong. The survey link is: https://cityuhk.questionpro.com/survey-of-kaggle-contestants", "votes": null } ], "comments": [ { "id": 1916392, "author_name": "ravi20076", "author_url": "", "post_date": "08/27/2022 20:43:23", "content": "@mirfanazam I think this competition was a great learning experience for all participants and regardless of leaderboard position, our positive learning experience and knowledge gain makes everyone a winner!
\nI plan to revisit the shortcomings in my approach and perhaps work on the successful approaches from competition toppers. I hope to learn a lot of new modelling techniques thereby and augment my knowledge.
", "votes": null, "replies": [] }, { "id": 1921639, "author_name": "lystriving", "author_url": "", "post_date": "09/01/2022 01:10:02", "content": "Hi @mirfanazam May I invite you to participate in this survey regarding your experience on Kaggle (10 min)? This is not a scam. We are a group of researchers at the City University of Hong Kong. The survey link is: https://cityuhk.questionpro.com/survey-of-kaggle-contestants
", "votes": null, "replies": [] } ], "raw_markdown_by_id": { "1916379": "This compeition was great in terms of learning. I already knew that as a beginner in ML I am not going to secure some significant position on the leaderboard. But what I saw was the opportunity to learn and help others.\n\nI was introcuded with new technologies and libraries like Dask, Vaex, HDF5, and Parquet.\n\n**My Notebooks**\n\nLarge Dataset - CSV - DASK - Parquet Notebook with 44 Upvotes and 63 Forks\nAMEX Prediction - Starter Notebook with 24 Upvotes and 43 Forks\nLearn to Reduce Dataset Size Notebook with 12 Upvotes and 6 Forks\nVaex - The Byte Cruncher Notebook with 12 Upvotes and 1 Fork\n\n**My Datasets**\n\nAMEX Prediction - Starter - Level 1\nAMEX Prediction - Starter - Level 2\nAMEX HDF5 - Last Statement - Train Only\nAMEX HDF5 for Vaex\n\nI feel happy and motivated to particpate in next competition.", "1916392": "mirfanazam I think this competition was a great learning experience for all participants and regardless of leaderboard position, our positive learning experience and knowledge gain makes everyone a winner! \n\nI plan to revisit the shortcomings in my approach and perhaps work on the successful approaches from competition toppers. I hope to learn a lot of new modelling techniques thereby and augment my knowledge.", "1921639": "Hi @mirfanazam May I invite you to participate in this survey regarding your experience on Kaggle (10 min)? This is not a scam. We are a group of researchers at the City University of Hong Kong. The survey link is: https://cityuhk.questionpro.com/survey-of-kaggle-contestants" }, "source": "meta" }