Competitions

10 Steps to Success in Kaggle Data Science Competitions

http://www.kdnuggets.com/2015/03/10-steps-success-kaggle-data-science-competitions.html

Classifying plankton with deep neural networks

• blog: http://benanne.github.io/2015/03/17/plankton.html
• github: https://github.com/benanne/kaggle-ndsb

Keras Deep Learning Tutorial for Kaggle 2nd Annual Data Science Bowl

• github: https://github.com/jocicmarko/kaggle-dsb2-keras

Kaggle_CrowdFlower: 1st Place Solution for Search Results Relevance Competition on Kaggle

• details: https://www.kaggle.com/c/crowdflower-search-relevance
• github: https://github.com/ChenglongChen/Kaggle_CrowdFlower

Machine learning best practices we’ve learned from hundreds of competitions (Kaggle: Ben Hamner)

• youtube: https://www.youtube.com/watch?v=9Zag7uhjdYo&hd=1
• baidu-pan: http://pan.baidu.com/s/1pJLrICN

kaggle-lmgpip: Top15 Solution for Kaggle-Competition “Liberty Mutual Group: Property Inspection Prediction”

• github: https://github.com/Far0n/kaggle-lmgpip

Kaggle_HomeDepot: Turing Test’s Solution for Home Depot Product Search Relevance Competition on Kaggle

• github: https://github.com/ChenglongChen/Kaggle_HomeDepot

How to get into the top 15 of a Kaggle competition using Python

• blog: https://www.dataquest.io/blog/kaggle-tutorial/

Data Science: A Kaggle Walkthrough

• part1: http://brettromero.com/wordpress/data-science-a-kaggle-walkthrough-introduction/
• part2: http://brettromero.com/wordpress/data-science-a-kaggle-walkthrough-understanding-the-data/
• part3: http://brettromero.com/wordpress/data-science-kaggle-walkthrough-cleaning-data/
• part4: http://brettromero.com/wordpress/data-science-kaggle-walkthrough-data-transformation-feature-extraction/
• part5: http://brettromero.com/wordpress/data-science-kaggle-walkthrough-adding-new-data/
• part6: http://brettromero.com/wordpress/data-science-kaggle-walkthrough-creating-model/

My Standard Work for every new competition

https://www.kaggle.com/forums/f/15/kaggle-forum/t/19959/my-standard-work-for-every-new-competition/113888

Step by step Kaggle competition tutorial

https://datanice.wordpress.com/2016/04/10/step-by-step-kaggle-competition-tutorial/

Winton Kaggle Competition

http://blog.nycdatascience.com/students-work/winton-kaggle-competition/

Kaggle Master, data scientist, & author: An interview with Luca Massaron

• blog: http://blog.kaggle.com/2016/07/14/kaggle-master-data-scientist-author-an-interview-with-luca-massaron/

Recognizing and Localizing Endangered Right Whales with Extremely Deep Neural Networks (2nd place solution to the Kaggle Right Whale challenge)

• blog: http://felixlaumon.github.io/2015/01/08/kaggle-right-whale.html
• github: https://github.com/felixlaumon/kaggle-right-whale

Kaggle Ensembling Guide

• blog: http://mlwave.com/kaggle-ensembling-guide/
• mirror: http://pan.baidu.com/s/1jGGgvEQ
• github: https://github.com/MLWave/Kaggle-Ensemble-Guide

• blog: http://blog.kaggle.com/2016/07/21/approaching-almost-any-machine-learning-problem-abhishek-thakur/

Facebook V: Predicting Check Ins: I won the Kaggle competition!

• blog: https://ttvand.github.io/Winning-approach-of-the-Facebook-V-Kaggle-competition/
• github: https://github.com/ttvand/Facebook-V

Entity Embeddings of Categorical Variables

• intro: 3rd place solution in Kaggle competition
• arxiv: http://arxiv.org/abs/1604.06737
• github: https://github.com/entron/entity-embedding-rossmann

Kaggle First Steps With Julia (Chars74k): First Place using Convolutional Neural Networks

http://ankivil.com/kaggle-first-steps-with-julia-chars74k-first-place-using-convolutional-neural-networks/

Winning Kaggle Competitions

• slides: http://www.slideshare.net/HJvanVeen/kaggle-presentation
• mirror: https://pan.baidu.com/s/1bpgee55

How should a beginner get started on Kaggle?

• quora: https://www.quora.com/How-should-a-beginner-get-started-on-Kaggle

Most popular kaggle competition solutions

http://dataaspirant.com/2016/10/06/most-popular-kaggle-competition-solutions/

Code for Kaggle Competitions

• github: https://github.com/tdeboissiere/Kaggle

Kaggle competition Painter by Numbers: Winning solution for the Kaggle competition Painter by Numbers

• github: https://github.com/inejc/painters

Using Keras+TensorFlow to solve NCFM-Leadboard Top 5%

• github: https://github.com/pengpaiSH/Kaggle_NCFM

2nd Place Solution of the Kaggle Competition - Santander Product Recommendation

• github: https://github.com/ttvand/Santander-Product-Recommendation

Deep Learning Tutorial for Kaggle Ultrasound Nerve Segmentation competition, using Keras

• intro: U-Net
• github: https://github.com/jocicmarko/ultrasound-nerve-segmentation

Nexar’s Deep Learning Challenge: the winners reveal their secrets

https://blog.getnexar.com/nexars-deep-learning-challenge-the-winners-reveal-their-secrets-e80c24147f2d#.rdu2pdv7h

Nature Conservancy Fish Classification

• github: https://github.com/rdcolema/nc-fish-classification

Leaf Classification Competition: 1st Place Winner’s Interview, Ivan Sosnovik

http://blog.kaggle.com/2017/03/24/leaf-classification-competition-1st-place-winners-interview-ivan-sosnovik/

猫狗大战: Dogs vs. Cats

https://github.com/ypwhs/dogs_vs_cats