Sample notebooks for Kaggle competitions.
Check out the corresponding medium blog post https://towardsdatascience.com/nucleus-segmentation-using-u-net-eceb14a9ced4.
Check out the corresponding medium blog post https://towardsdatascience.com/deep-learning-for-ship-detection-and-segmentation-71d223aca649.
Check out the corresponding medium blog post https://towardsdatascience.com/deep-learning-for-iceberg-detection-in-satellite-images-c667acf4bad0.
Check out the corresponding medium blog post https://towardsdatascience.com/deep-learning-for-detecting-pneumonia-from-x-ray-images-fc9a3d9fdba8.
Check out the corresponding medium blog post https://towardsdatascience.com/customer-segmentation-using-k-means-clustering-d33964f238c3.
Check out the corresponding medium blog post https://towardsdatascience.com/graduate-admission-prediction-using-machine-learning-8e09ba1af359.
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http://elib.dlr.de/82654/1/isprsarchives-XL-1-W1-233-2013.pdf
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https://www.sciencedirect.com/science/article/pii/S0034425716304527
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http://earth.esa.int/seasar2008/participants/36/pres_36_alexandrov.pdf
@misc{Abhinav:2019,
Author = {Abhinav Sagar},
Title = {Kaggle Tutorial},
Year = {2019},
Publisher = {GitHub},
Journal = {GitHub repository},
Howpublished = {\url{https://github.com/abhinavsagar/Kaggle-Tutorial.git}}
}
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