tdeboissiere / Kaggle

A community run, 5-day PyTorch Deep Learning Bootcamp

Set of scripts and data for reproducing dog breed classification model training, analysis, and inference.

Credit card fraud detection through logistic regression, k-means, and deep learning.

9th Place Solution of Kaggle Global Wheat Detection

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Cryptocurrency Historical Market Data R Package

A collection of useful modules and utilities (especially helpful for kaggling) not available in Pytorch

1st place solution

Kaggle dogs vs cats solution in Caffe

kaggle Dog Breed Identification

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

Tensorflow implementation : U-net and FCN with global convolution

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

Spark 2.0 Python Machine Learning examples

2nd Place Solution in Kaggle Airbnb New User Bookings competition

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

8th place solution (on Kaggle) to the Freesound General-Purpose Audio Tagging Challenge (DCASE 2018 - Task 2)

Speech commands recognition with PyTorch

The repository provides usefull python scripts for ML and data analysis

Kaggle Data Science Bowl 2018