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Sep 17, 2014 · This blog is for describing the winning solution of the Kaggle Higgs competition. It has the public score of 3.75+ and the private score of 3.73+ which has ranked at 26th. This solution uses a single classifier with some feature work from basic high-school physics plus a few advanced but calculable physical features. Github link to… Jun 22, 2017 · The goal of Kaggle Competition is to predict Moscow's housing prices provided by Sberbank by machine learning models and feature engineering. We were able to achieve a satisfactory Kaggle Score of 0.314 (RMSLE) by a deep dive into the machine learning model selection and feature engineering.

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Kaggle is a platform where you can learn a lot about machine learning with Python and R, do data science projects, and (this is the most fun part) join machine learning competitions. Competitions are changed and updated over time. Currently, " Titanic: Machine Learning from Disaster " is " the beginner's competition " on the platform.
Dec 16, 2018 · It has been working great for learning deep learning (with pytorch) and Kaggle competitions. I have found this local setup to be faster than Google Colab, Kaggle kernels, and Azure notebooks and long runs are more reliable. The colorful case lights are an added bonus! 3.17. Kaggle의 주택 가격 예측하기¶. 앞 절들에서 딥 네트워크를 만들고 차원과 가중치 감쇠(weight decay) 그리고 드롭아웃(dropout)을 사용해서 용량을 제어하는 다양한 기본적인 도구들을 소개했습니다.

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Voir le profil de Jean-Francois Puget, PhD sur LinkedIn, le plus grand réseau professionnel mondial. Jean-Francois a 4 postes sur son profil. Consultez le profil complet sur LinkedIn et découvrez les relations de Jean-Francois, ainsi que des emplois dans des entreprises similaires.
The process of making Kaggle kernel and Using Kaggle Dataset; Building Classification model using Keras; Some Image Preprocessing methods; This Crash course Assumes that you have basic knowledge about. Python programming languages; Deep Learning Basics. Keras & Tensorflow. In this class, we will use the FER2013 Dataset that you can get from here Several of them have also been deployed in our previous kaggle competitions ... Along the way, we analyze (1) their early successes, (2) their role in the deep learning renaissance, (3) selected ...

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Apr 18, 2019 · Big thanks to Thomas Capelle珞 for his starter kernel on kaggle, it provided so much insight into how to approach this problem and also the fast.ai team for creating an amazing deep learning course that simplifies a lot of difficult deep learning concepts. Now beginners to deep learning can now go as far as winning kaggle contests .
While Kaggle might be the most well-known, go-to data science competition platform to test your skills at model building and performance, additional regional platforms are available around the world that offer even more opportunities to learn... and win. Kaggle Master. Research interests: System Security, Machine Learning Security, Optimization, Data Mining . mail, github, Linkedin, Twitter, Kaggle, SlideShare, CV. Google Scholar. Poster [NDSS 2020] Security of Deep Learning based Lane Keeping Assistance System under Physical-World Adversarial Attack

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DAWNBench is a benchmark suite for end-to-end deep learning training and inference. Computation time and cost are critical resources in building deep models, yet many existing benchmarks focus solely on model accuracy.
Jun 21, 2020 · MLT is excited to support and be part of the CTDS Kaggle competition organized by Sanyam Bhutani, Chai Time Data Science | CTDS.Show.. The Chai Time Data Science Show is a podcast, video and blog based show for interviews with ML Practitioners, Kagglers, Research Scientists and all things Data Science. Oct 03, 2019 · Stacking has been responsible for many Kaggle competition wins. Here is a very interesting extract of a paper of the creator of stacking: Wolpert (1992) Stacked Generalization: It is usually desirable that the level 0 generalizers are of all “types”, and not just simple variations of one another (e.g., we want surface-fitters, Turing ...

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Kaggle competitions. Grow your data science skills by competing in Kaggle competitions. If you are specifically interested in character recognition, then you might consider the ongoing Digit Recognizer competition and the finished playground Kannada Mnist competition.
May 13, 2017 · Learn deep learning using Keras from Kaggler and deepsense.io data science instructor Piotr Migdal. Great introduction!... Oct 09, 2017 · If you into competitive machine learning you must be visiting Kaggle routinely. Currently you can compete for cash and recognition at the Porto Seguro’s Safe Driver Prediction as well. I did try to given training dataset (as it is) with H2O AutoML which ran for about 5 hours and I was able to get into top 280th position.

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- Kaggle is a good way to practice machine learning, data analysis skills - Kaggle’s goal: Turn data into prediction results - Data dictionary is important for understanding the data set
I am passionate about solving unstructured and non-standard mathematical problems. I develop and fit Deep Learning, Statistical, and Optimization models. I would love to work on your projects. If you have any questions beforehand, please feel free to contact me. Skills: PyTorch, Keras, Tensorflow, Theano, Numpy, Pandas, SymPy, Matplotlib, SQL