![\"img\"](\"https://i.imgur.com/QdZZk1U.gif\")
Weights and Biases have been working on a new feature called Tables for a couple of months now. They have recently launched the feature. You can read more about the announcement in this W&B report.
\nI believe that this feature will be useful for Kagglers. Let's see Tables in the context of this competition.
\nIn this competition, we are given four different MRI Image Sequences for individual patients. These sequences are - FLAIR, T1w, T1wCE, and T2w. There is a total of 585 patients. The task is to predict the presence of MGMT promoter methylation.
\nGiven the importance of EDA, especially for a tricky dataset like this, it's useful to visualize as much of the dataset as possible. This is where W&B Tables can be really useful. The GIF shown below is a screengrab of the dataset logged as Tables in action.
\n
There are multiple patient ids for which either one or multiple MRI sequences are missing. Let's find them. The GIF shown below is a screengrab of the steps required to do the same.
\nSPEND TIME LOOKING AT THE DATASET AND COME UP WITH INTERESTING IDEAS. :)
\nVisit the section \"Visualizing dataset interactively with W&B Tables\" in the Kaggle kernel, titled \"Brain Tumor EDA and Interactive Viz with W&B\"
\nHere's are some other resources that you might feel useful:
\nWeights and Biases have been working on a new feature called Tables for a couple of months now. They have recently launched the feature. You can read more about the announcement in this W&B report.
\nI believe that this feature will be useful for Kagglers. Let's see Tables in the context of this competition.
\nIn this competition, we are given four different MRI Image Sequences for individual patients. These sequences are - FLAIR, T1w, T1wCE, and T2w. There is a total of 585 patients. The task is to predict the presence of MGMT promoter methylation.
\nGiven the importance of EDA, especially for a tricky dataset like this, it's useful to visualize as much of the dataset as possible. This is where W&B Tables can be really useful. The GIF shown below is a screengrab of the dataset logged as Tables in action.
\n
There are multiple patient ids for which either one or multiple MRI sequences are missing. Let's find them. The GIF shown below is a screengrab of the steps required to do the same.
\nSPEND TIME LOOKING AT THE DATASET AND COME UP WITH INTERESTING IDEAS. :)
\nVisit the section \"Visualizing dataset interactively with W&B Tables\" in the Kaggle kernel, titled \"Brain Tumor EDA and Interactive Viz with W&B\"
\nHere's are some other resources that you might feel useful:
\nAfter reading your notebook, I wanna use W & B. Good advertise 😄
\nHow about your progress? Does your network become stable? I tried 2d model but it doesn't work for this problem. I am going to try 3D CNN or LSTM in the next step.
Hey glad you liked it. I will be working on stabilizing the network tomorrow. :D
\n3D CNN is a viable option.
", "rawMarkdown": "Hey glad you liked it. I will be working on stabilizing the network tomorrow. :D\n\n3D CNN is a viable option." } ] }, { "id": 1405996, "postDate": "2021-07-31T12:04:10.507Z", "content": "Very nice! I checked out your notebook, has a lot of detail! Thanks!
", "rawMarkdown": "Very nice! I checked out your notebook, has a lot of detail! Thanks!", "replies": [ { "id": 1407643, "postDate": "2021-08-02T04:23:35.770Z", "content": "Awesome thanks ElenaEB :)
", "rawMarkdown": "Awesome thanks ElenaEB :)" } ] }, { "id": 1405312, "postDate": "2021-07-30T17:35:22.990Z", "content": "Very cool @ayuraj .. I'm just getting into WandB myself. I haven't looked at the tables feature yet though. I think you forgot to paste in the planes kernel link.
", "rawMarkdown": "Very cool @ayuraj .. I'm just getting into WandB myself. I haven't looked at the tables feature yet though. I think you forgot to paste in the planes kernel link.", "replies": [ { "id": 1405612, "postDate": "2021-07-31T05:07:50.640Z", "content": "Hey @davidbroberts thanks for pointing that out. My bad. :)
\nW&B will be useful. :)
", "rawMarkdown": "Hey @davidbroberts thanks for pointing that out. My bad. :)\n\nW&B will be useful. :)" } ] }, { "id": 1405410, "postDate": "2021-07-30T19:54:59.667Z", "rawMarkdown": "", "isDeleted": true, "replies": [ { "id": 1405614, "postDate": "2021-07-31T05:08:31.677Z", "content": "Thanks @weka511. Yeah, exploding brain will kill tumors and humans alike. :P
", "rawMarkdown": "Thanks @weka511. Yeah, exploding brain will kill tumors and humans alike. :P" } ] } ], "comments": [ { "id": 1470811, "author_name": "Shanshan Yu", "author_url": "", "post_date": "2021-08-13T18:15:16.110000", "content": "After reading your notebook, I wanna use W & B. Good advertise 😄
\nHow about your progress? Does your network become stable? I tried 2d model but it doesn't work for this problem. I am going to try 3D CNN or LSTM in the next step.
Hey glad you liked it. I will be working on stabilizing the network tomorrow. :D
\n3D CNN is a viable option.
", "votes": 0, "replies": [] } ] }, { "id": 1405996, "author_name": "ElenaEB", "author_url": "", "post_date": "2021-07-31T12:04:10.507000", "content": "Very nice! I checked out your notebook, has a lot of detail! Thanks!
", "votes": 0, "replies": [ { "id": 1407643, "author_name": "Ayush Thakur", "author_url": "", "post_date": "2021-08-02T04:23:35.770000", "content": "Awesome thanks ElenaEB :)
", "votes": 0, "replies": [] } ] }, { "id": 1405312, "author_name": "David Roberts", "author_url": "", "post_date": "2021-07-30T17:35:22.990000", "content": "Very cool @ayuraj .. I'm just getting into WandB myself. I haven't looked at the tables feature yet though. I think you forgot to paste in the planes kernel link.
", "votes": 0, "replies": [ { "id": 1405612, "author_name": "Ayush Thakur", "author_url": "", "post_date": "2021-07-31T05:07:50.640000", "content": "Hey @davidbroberts thanks for pointing that out. My bad. :)
\nW&B will be useful. :)
", "votes": 0, "replies": [] } ] }, { "id": 1405410, "author_name": "", "author_url": "", "post_date": "2021-07-30T19:54:59.667000", "content": "", "votes": 0, "replies": [ { "id": 1405614, "author_name": "Ayush Thakur", "author_url": "", "post_date": "2021-07-31T05:08:31.677000", "content": "Thanks @weka511. Yeah, exploding brain will kill tumors and humans alike. :P
", "votes": 0, "replies": [] } ] } ], "raw_markdown_by_id": { "1405194": "[Weights and Biases](https://wandb.ai/site) have been working on a new feature called [Tables](https://docs.wandb.ai/guides/data-vis) for a couple of months now. They have recently launched the feature. You can read more about the announcement in this [W&B report](https://wandb.ai/wandb/posts/reports/Announcing-W-B-Tables-Iterate-on-Your-Data--Vmlldzo4NTMxNDU).\n\nI believe that this feature will be useful for Kagglers. Let's see Tables in the context of this competition. \n\n---\n\nIn this competition, we are given four different MRI Image Sequences for individual patients. These sequences are - FLAIR, T1w, T1wCE, and T2w. There is a total of 585 patients. The task is to predict the presence of MGMT promoter methylation. \n\nGiven the importance of EDA, especially for a tricky dataset like this, it's useful to visualize as much of the dataset as possible. This is where W&B Tables can be really useful. The GIF shown below is a screengrab of the dataset logged as Tables in action. \n\n#### [Check out the logged Tables here ▶️](http://wandb.me/brain-tumor-tables)\n\n\n\n#### Some quick insights:\n\n* There are 585 unique patients.