The third week of my learning path involved creating an evaluation metric system from this notebook: 🧬 RNA 3D Folding: Evaluation and combining it with the inference notebook provided by https://www.kaggle.com/code/shujun717/ribonanzanet-3d-inference
\nI submitted 2 notebooks understanding the principles and the pipeline generating to get predictions.
\nMy next move will be to check some interesting discussions about the TM-score and some notebooks that use xgboost and the most recent notebook from the organizer RibonanzaNet 3D Inference add structure module
\nI want to understand deeply the fine-tune notebook and the results from the previous competition that created the RibonanzaNet 3D model.
\nIf you have any suggestions feel free to post it! I am looking for anything to help me learn.
\nMy goal is to reach 100 submissions.
", "messages": [ { "id": "3158814", "postDate": "03/24/2025 23:57:16", "content": "The third week of my learning path involved creating an evaluation metric system from this notebook: 🧬 RNA 3D Folding: Evaluation and combining it with the inference notebook provided by https://www.kaggle.com/code/shujun717/ribonanzanet-3d-inference
\nI submitted 2 notebooks understanding the principles and the pipeline generating to get predictions.
\nMy next move will be to check some interesting discussions about the TM-score and some notebooks that use xgboost and the most recent notebook from the organizer RibonanzaNet 3D Inference add structure module
\nI want to understand deeply the fine-tune notebook and the results from the previous competition that created the RibonanzaNet 3D model.
\nIf you have any suggestions feel free to post it! I am looking for anything to help me learn.
\nMy goal is to reach 100 submissions.
", "rawMarkdown": "The third week of my learning path involved creating an evaluation metric system from this notebook: [🧬 RNA 3D Folding: Evaluation](https://www.kaggle.com/code/jaejohn/rna-3d-folding-evaluation/notebook) and combining it with the inference notebook provided by https://www.kaggle.com/code/shujun717/ribonanzanet-3d-inference\n\nI submitted 2 notebooks understanding the principles and the pipeline generating to get predictions.\n\nMy next move will be to check some interesting discussions about the TM-score and some notebooks that use xgboost and the most recent notebook from the organizer [RibonanzaNet 3D Inference add structure module](https://www.kaggle.com/code/shujun717/ribonanzanet-3d-inference-add-structure-module) \n\nI want to understand deeply the fine-tune notebook and the results from the previous competition that created the RibonanzaNet 3D model. \n\nIf you have any suggestions feel free to post it! I am looking for anything to help me learn. \n\nMy goal is to reach 100 submissions.", "votes": null }, { "id": "3159356", "postDate": "03/25/2025 13:55:11", "content": "Thanks for sharing this. I am much behind you. Where would you suggest me to start?
", "rawMarkdown": "Thanks for sharing this. I am much behind you. Where would you suggest me to start?", "votes": null }, { "id": "3159543", "postDate": "03/25/2025 17:55:15", "content": "Hi @dalloliogm I suggest to start with the notebooks, there are amazing results in public notebooks, you can go line by line typing the code yourself trying to understand. My approach is to discuss with chatGPT what I think each line is doing and get feedback and explanation, this help me to understand and apply to different scenarios, which is the most important part!
\nI hope this helps, if you have any question just let me know!
", "rawMarkdown": "Hi @dalloliogm I suggest to start with the notebooks, there are amazing results in public notebooks, you can go line by line typing the code yourself trying to understand. My approach is to discuss with chatGPT what I think each line is doing and get feedback and explanation, this help me to understand and apply to different scenarios, which is the most important part!\n\nI hope this helps, if you have any question just let me know!", "votes": null }, { "id": "3159855", "postDate": "03/26/2025 01:54:13", "content": "Thanks for sharing this. But this is my first time to take part in this competition.Where would you suggest me to start? I hope you can give me some advice.
", "rawMarkdown": "Thanks for sharing this. But this is my first time to take part in this competition.Where would you suggest me to start? I hope you can give me some advice.", "votes": null }, { "id": "3159875", "postDate": "03/26/2025 02:37:04", "content": "It depends on your level. Have you already worked on ML projects? A bit of background can help me to suggest some resources
", "rawMarkdown": "It depends on your level. Have you already worked on ML projects? A bit of background can help me to suggest some resources", "votes": null }, { "id": "3159886", "postDate": "03/26/2025 03:19:49", "content": "I have done actual ML projects before, but this is my first time participating in a competition
", "rawMarkdown": "I have done actual ML projects before, but this is my first time participating in a competition", "votes": null }, { "id": "3159887", "postDate": "03/26/2025 03:21:02", "content": "Mainly, I have no experience in participating in competitions and have no idea where to start.
", "rawMarkdown": "Mainly, I have no experience in participating in competitions and have no idea where to start.", "votes": null }, { "id": "3160610", "postDate": "03/27/2025 00:38:30", "content": "Competitions can be hard and difficult to pick up, my advice would be to go to some of the notebooks that explain the concepts and principles of the competition, try to understand and perhaps even make a demo submission. Put code into ChatGPT (or any other you use) and ask as many questions as you can, if you still feel that it is difficult to understand or do not have any experience with deep learning models and advanced Python code go to the playground competition, they usually easier to understand.
\nI hope this helps. Feel free to reach out if you have questions!
", "rawMarkdown": "Competitions can be hard and difficult to pick up, my advice would be to go to some of the notebooks that explain the concepts and principles of the competition, try to understand and perhaps even make a demo submission. Put code into ChatGPT (or any other you use) and ask as many questions as you can, if you still feel that it is difficult to understand or do not have any experience with deep learning models and advanced Python code go to the playground competition, they usually easier to understand. \n\nI hope this helps. Feel free to reach out if you have questions!", "votes": null } ], "comments": [ { "id": 3159356, "author_name": "dalloliogm", "author_url": "", "post_date": "03/25/2025 13:55:11", "content": "Thanks for sharing this. I am much behind you. Where would you suggest me to start?
", "votes": null, "replies": [ { "id": 3159543, "author_name": "pastorsoto", "author_url": "", "post_date": "03/25/2025 17:55:15", "content": "Hi @dalloliogm I suggest to start with the notebooks, there are amazing results in public notebooks, you can go line by line typing the code yourself trying to understand. My approach is to discuss with chatGPT what I think each line is doing and get feedback and explanation, this help me to understand and apply to different scenarios, which is the most important part!
\nI hope this helps, if you have any question just let me know!
", "votes": null, "replies": [] } ] }, { "id": 3159855, "author_name": "pipipeieryue", "author_url": "", "post_date": "03/26/2025 01:54:13", "content": "Thanks for sharing this. But this is my first time to take part in this competition.Where would you suggest me to start? I hope you can give me some advice.
", "votes": null, "replies": [ { "id": 3159875, "author_name": "pastorsoto", "author_url": "", "post_date": "03/26/2025 02:37:04", "content": "It depends on your level. Have you already worked on ML projects? A bit of background can help me to suggest some resources
", "votes": null, "replies": [ { "id": 3159886, "author_name": "pipipeieryue", "author_url": "", "post_date": "03/26/2025 03:19:49", "content": "I have done actual ML projects before, but this is my first time participating in a competition
", "votes": null, "replies": [] }, { "id": 3159887, "author_name": "pipipeieryue", "author_url": "", "post_date": "03/26/2025 03:21:02", "content": "Mainly, I have no experience in participating in competitions and have no idea where to start.
", "votes": null, "replies": [ { "id": 3160610, "author_name": "pastorsoto", "author_url": "", "post_date": "03/27/2025 00:38:30", "content": "Competitions can be hard and difficult to pick up, my advice would be to go to some of the notebooks that explain the concepts and principles of the competition, try to understand and perhaps even make a demo submission. Put code into ChatGPT (or any other you use) and ask as many questions as you can, if you still feel that it is difficult to understand or do not have any experience with deep learning models and advanced Python code go to the playground competition, they usually easier to understand.
\nI hope this helps. Feel free to reach out if you have questions!
", "votes": null, "replies": [] } ] } ] } ] } ], "raw_markdown_by_id": { "3158814": "The third week of my learning path involved creating an evaluation metric system from this notebook: [🧬 RNA 3D Folding: Evaluation](https://www.kaggle.com/code/jaejohn/rna-3d-folding-evaluation/notebook) and combining it with the inference notebook provided by https://www.kaggle.com/code/shujun717/ribonanzanet-3d-inference\n\nI submitted 2 notebooks understanding the principles and the pipeline generating to get predictions.\n\nMy next move will be to check some interesting discussions about the TM-score and some notebooks that use xgboost and the most recent notebook from the organizer [RibonanzaNet 3D Inference add structure module](https://www.kaggle.com/code/shujun717/ribonanzanet-3d-inference-add-structure-module) \n\nI want to understand deeply the fine-tune notebook and the results from the previous competition that created the RibonanzaNet 3D model. \n\nIf you have any suggestions feel free to post it! I am looking for anything to help me learn. \n\nMy goal is to reach 100 submissions.", "3159356": "Thanks for sharing this. I am much behind you. Where would you suggest me to start?", "3159543": "Hi @dalloliogm I suggest to start with the notebooks, there are amazing results in public notebooks, you can go line by line typing the code yourself trying to understand. My approach is to discuss with chatGPT what I think each line is doing and get feedback and explanation, this help me to understand and apply to different scenarios, which is the most important part!\n\nI hope this helps, if you have any question just let me know!", "3159855": "Thanks for sharing this. But this is my first time to take part in this competition.Where would you suggest me to start? I hope you can give me some advice.", "3159875": "It depends on your level. Have you already worked on ML projects? A bit of background can help me to suggest some resources", "3159886": "I have done actual ML projects before, but this is my first time participating in a competition", "3159887": "Mainly, I have no experience in participating in competitions and have no idea where to start.", "3160610": "Competitions can be hard and difficult to pick up, my advice would be to go to some of the notebooks that explain the concepts and principles of the competition, try to understand and perhaps even make a demo submission. Put code into ChatGPT (or any other you use) and ask as many questions as you can, if you still feel that it is difficult to understand or do not have any experience with deep learning models and advanced Python code go to the playground competition, they usually easier to understand. \n\nI hope this helps. Feel free to reach out if you have questions!" }, "source": "meta" }