![What does it take to win a Kaggle competition? Let's hear it from the winner himself. | by Parul Pandey | Towards Data Science What does it take to win a Kaggle competition? Let's hear it from the winner himself. | by Parul Pandey | Towards Data Science](https://miro.medium.com/max/1400/1*5ZuKALPoIBA2C8x70F5apA.png)
What does it take to win a Kaggle competition? Let's hear it from the winner himself. | by Parul Pandey | Towards Data Science
![What does it take to win a Kaggle competition? Let's hear it from the winner himself. | by Parul Pandey | Towards Data Science What does it take to win a Kaggle competition? Let's hear it from the winner himself. | by Parul Pandey | Towards Data Science](https://miro.medium.com/max/1400/1*Q4rDhCWaCWWZD_9ZE6bSQA.png)
What does it take to win a Kaggle competition? Let's hear it from the winner himself. | by Parul Pandey | Towards Data Science
![Semantic segmentation to detect Nuclei using U-net | by Stanislav Melnikov | Analytics Vidhya | Medium Semantic segmentation to detect Nuclei using U-net | by Stanislav Melnikov | Analytics Vidhya | Medium](https://miro.medium.com/max/1400/0*2Ch9XNmItq0E_cAb.png)
Semantic segmentation to detect Nuclei using U-net | by Stanislav Melnikov | Analytics Vidhya | Medium
GitHub - chavicoski/heart_ejection_fraction_estimation: Second Annual Data Science Bowl (Kaggle competition)
Second Annual Data Science Bowl Crowd-Sources Solutions to Transform Heart Disease Diagnosis, Catalyzes Data Science Community a
![Alexandr Kalinin on Twitter: "Description of 4th place solution for #Kaggle Data Science Bowl 2018 https://t.co/lViYL1K87y - inspired by Deep Watershed Transform - 2 stacked U-Nets trained from scratch - 1st UNet: Alexandr Kalinin on Twitter: "Description of 4th place solution for #Kaggle Data Science Bowl 2018 https://t.co/lViYL1K87y - inspired by Deep Watershed Transform - 2 stacked U-Nets trained from scratch - 1st UNet:](https://pbs.twimg.com/media/DbZeNbzXcAAAFNw.jpg:large)
Alexandr Kalinin on Twitter: "Description of 4th place solution for #Kaggle Data Science Bowl 2018 https://t.co/lViYL1K87y - inspired by Deep Watershed Transform - 2 stacked U-Nets trained from scratch - 1st UNet:
![2nd place solution for the 2017 national datascience bowl – Julian de Wit – Freelance software/machine learning engineer. 2nd place solution for the 2017 national datascience bowl – Julian de Wit – Freelance software/machine learning engineer.](https://juliandewit.github.io/images/plan2017_2.png)